Hexion

Title: Senior Content Strategist Location: Columbus, OH, US Department: Corporate Company Overview Imagine Everything. Build the Future with Hexion. At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress—developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future. This is where bold thinkers, problem-solvers, and innovators come together to shape what’s next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward. We don’t follow the status quo—we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger. We invest in innovation, sustainability, and continuous development—equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide. Your Future Starts Here. If you’re ready to push limits, reimagine what’s possible, and create the extraordinary, Hexion is where you belong. Anything is possible when you imagine everything. Position Overview Location: Remote in US or Canada with preference for EST time zone We are hiring a Senior Content Strategist to lead content strategy and website performance for Hexion. This role is responsible for strengthening our digital foundation ensuring the website, content ecosystem, brand messaging, and sales content support long-term growth and commercial objectives. You will work cross-functionally with business leaders, sales teams, and external partners to create high-impact content and maintain a high-performing, insight-driven digital presence. This is a hands-on, high-visibility role suited for someone who combines strong editorial judgment with digital performance expertise. Key Responsibilities - Enterprise Content Strategy: Develop and manage a structured, content roadmap aligned with brand positioning and long-term growth priorities. Ensure messaging consistency while enabling vertical-specific differentiation. - Growth-Oriented Content Creation: Partner with business units and sales to translate commercial priorities into compelling content across formats, including website pages, event materials, sales decks, brochures, and case studies. - Thought Leadership Development: Build unique and engaging authority-building assets that strengthen Hexion’s credibility and support downstream demand generation efforts. - Website Ownership & Governance: Own the content on Hexion’s website and overall performance in collaboration with the wider marketing team. Manage publishing workflows, UX coordination, content audits, and ongoing optimization. - SEO, AEO, & Organic Performance: Lead SEO/ AEO strategy across the website, including keyword planning, on-page optimization, and content structuring to improve organic visibility and search rankings. - Web Analytics & Insight Generation: Monitor website performance using GA4 and related tools. Develop dashboards and insights that inform content strategy, user experience improvements, and digital investment decisions. - Brand Stewardship & Digital Governance: Uphold Hexion’s overall brand standards across digital channels. Establish content guidelines, tone-of-voice frameworks, and digital governance processes. - Vendor Management: Own the relationship with the web design and development agency to ensure performance, quality, and alignment with brand standards. Minimum Qualifications - 5+ years of experience in B2B content marketing, digital strategy, or website management - Strong experience developing enterprise-level content strategies across multiple business units - Experience with using AI tool and building custom agents like Tone of Voice Agent, to accelerate work and automate manual tasks. - Proven ability to create high-impact case studies and thought leadership content - Experience managing and optimizing B2B websites at scale - Hands-on experience with: - CMS platforms (Webflow, WordPress, Sitecore, or similar) - GA4 and website analytics tools - SEO/ AEO tools and best practices - Strong understanding of how content supports demand generation (without necessarily owning campaigns) - Proven ability to translate technical or industrial subject matter into clear, compelling messaging - Experience coordinating cross-functional stakeholders and managing external vendors - Strong editorial judgment and brand stewardship capability - Analytical mindset with comfort interpreting digital performance data Other We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law. To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.

Title: Senior Growth Campaign Manager Location: Remote, OH, US Department: Corporate Job Description: Company Overview Imagine Everything. Build the Future with Hexion. At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress—developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future. This is where bold thinkers, problem-solvers, and innovators come together to shape what’s next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward. We don’t follow the status quo—we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger. We invest in innovation, sustainability, and continuous development—equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide. Your Future Starts Here. If you’re ready to push limits, reimagine what’s possible, and create the extraordinary, Hexion is where you belong. Position Overview Location: Remote in US or Canada with preference for EST time zone We are hiring a Senior Growth Campaign Manager to own and execute end-to-end growth campaigns for Hexion. This is a hands-on, high-impact role for someone who thrives at the intersection of strategy and execution. You will translate growth strategy into integrated multi-channel campaigns, lead demand generation initiatives, manage industry conferences, and drive measurable pipeline impact. You will serve as the central orchestrator of Hexion’s growth marketing, working cross-functionally with sales, product, leadership, and design to generate awareness, engagement, and qualified pipeline. Key Responsibilities - Multi-Channel Campaign Execution: Translate growth strategy into integrated campaigns across LinkedIn, email, events, landing pages, webinars, and CRM marketing automation workflows. Own campaign planning, execution, performance tracking, and pipeline attribution. - Strategic Growth Contribution: Contribute to overall Hexion growth strategy by identifying new customer acquisition channels, experimentation opportunities, and ABM initiatives. Continuously optimize the demand engine based on performance data. - Email & Marketing Automation: Build segmented nurture campaigns and automated workflows to drive engagement and conversion. Use CRM insights and testing to optimize messaging and funnel performance. - Conference & Event Marketing: Work with Marketing Excellence team to execute conferences and tradeshows. Own lead gen initiative from pre to post event. Measure ROI, lead quality, and pipeline contribution. - LinkedIn Advertising & Paid Media: Develop and manage LinkedIn and paid media ad campaigns in partnership with external agency, overseeing targeting, budget allocation, and optimization. Deliver reporting tied directly to pipeline and revenue outcomes. - Landing Page Development: Build and optimize campaign landing pages in collaboration with Content Strategist using Webflow templates. Improve conversion rates through testing, messaging refinement, and performance analysis. - Organic Social & Content Amplification: Partner with design and social media manager to develop organic LinkedIn content aligned to growth campaign goals. - Marketing Automation & Marketing Pipeline Management (Microsoft Dynamics): Maintain CRM hygiene, campaign tracking, and marketing attribution. Partner closely with sales excellence and IT to ensure strong lead handoff, visibility, and measurable pipeline contribution. - Agency Relationship: Own the creative/ media agency relation. Manage timelines and deliverables and ensure success. Qualifications and Experience - 5+ years of growth marketing experience - Proven track record running integrated, multi-channel demand generation campaign - Experience with using AI tool and building custom agents like data clean up agents, company research agents, to accelerate work and automate manual tasks. - Experience supporting or leading account-based marketing initiatives - Strong experience managing industry conferences and trade shows end-to-end - Hands-on experience with: - LinkedIn Campaign Manager - Email marketing and automation platforms - Microsoft Dynamics, Hubspot, Salesforce (or similar enterprise CRM) - Webflow, Storyblok, Wordpress (or comparable CMS platforms) - Demonstrated ability to build and optimize high-converting landing pages - Strong understanding of B2B sales cycles, pipeline metrics, and revenue attribution - Analytical mindset with comfort interpreting funnel and performance data - Experience working cross-functionally with sales, product, and design teams - Excellent project management and execution skills - Strong written and messaging capabilities for technical B2B audiences Other We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law. To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision. Nearest Major Market: Canton Nearest Secondary Market: Akron

Title: Data Engineering Specialist Location: Columbus, OH, US Department: Corporate Job Description: Company Overview Imagine Everything. Build the Future with Hexion. At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress—developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future. This is where bold thinkers, problem-solvers, and innovators come together to shape what’s next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward. We don’t follow the status quo—we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger. We invest in innovation, sustainability, and continuous development—equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide. Your Future Starts Here.   If you’re ready to push limits, reimagine what’s possible, and create the extraordinary, Hexion is where you belong.  Anything is possible when you imagine everything.  Position Overview This is a US Remote position.  Hexion is a global leader in specialty chemicals, delivering innovative solutions that improve performance, sustainability, and operational excellence across industries. As part of Hexion’s digital transformation strategy, we are building a next-generation industrial edge-to-cloud platform that integrates operational technology (OT), industrial data, advanced analytics, AI, and digital twin technologies to drive manufacturing performance and create scalable customer-facing solutions.  We are seeking a Principal Manufacturing IOT & OT Security Architect to establish the security architecture and governance framework that enables industrial AI and analytics while protecting critical manufacturing operations.  The Principal Manufacturing IOT & OT Security Architect is responsible for defining and governing the secure integration of industrial control systems, edge computing, cloud platforms, digital twins, and AI-driven applications across Hexion’s manufacturing environments.  This role serves as the primary authority for industrial cybersecurity architecture and will ensure that all digital manufacturing initiatives align with:  - Purdue Enterprise Reference Architecture  - IEC 62443 Industrial Security Standards  - NIST Cybersecurity Framework  - NIST SP 800-82 Industrial Control Systems Guidance  - Corporate security policies and regulatory requirements  The successful candidate will establish secure patterns for moving operational data from manufacturing environments into cloud platforms while enabling advanced analytics, machine learning, digital twins, and future autonomous operations.  This role requires balancing security, operational reliability, and business innovation while maintaining the integrity and availability of critical manufacturing systems.  Job Responsibilities Industrial Security Architecture Leadership  - Define and govern enterprise-wide industrial security architecture standards  - Establish secure edge-to-cloud connectivity patterns  - Develop reference architectures for industrial AI, digital twins, and advanced analytics  - Define approved deployment patterns for manufacturing environments  - Serve as the primary architectural authority for OT cybersecurity initiatives  Purdue Model & Industrial Network Architecture  - Design and govern solutions across Purdue Levels 0 through 5  - Define segmentation and trust boundaries between:      - - Control Systems  - Manufacturing Operations  - Industrial DMZ  - Enterprise Networks  - Cloud Platforms    - Establish secure communication paths between operational and enterprise environments  - Develop strategies for secure remote access and vendor connectivity    Secure Industrial Data & AI Architecture  - Define approved architectures for:  - - Industrial data collection  - Historian integration  - Industrial IoT  - Edge analytics  - AI model deployment  - Digital twin environments  - Ensure operational data can be securely leveraged for:    - - Predictive maintenance  - Process optimization  - Reliability engineering  - Advanced analytics    - Establish governance for AI deployment within manufacturing environments  Competencies Edge Computing & Industrial IoT Security  - Define secure deployment patterns for:  - AWS IoT Greengrass  - IoT SiteWise  - IoT TwinMaker  - Edge gateways  - Industrial data brokers  - Establish device identity and certificate management standards  - Define secure software deployment and update mechanisms for edge environments  - Ensure secure operation during network interruptions and disconnected operations  Security Governance & Compliance  - Establish cybersecurity controls aligned with:  - IEC 62443  - NIST CSF  - NIST SP 800-82  - Corporate standards  - Conduct architectural security reviews for digital manufacturing initiatives  - Define risk assessment methodologies for industrial systems  - Partner with Corporate Cybersecurity teams to ensure alignment between IT and OT security programs  Platform & Product Security  - Define security architecture for multi-tenant industrial software platforms  - Establish customer data isolation requirements  - Define identity and access management strategies  - Establish customer-managed key and encryption architectures  - Define audit logging and compliance requirements for industrial SaaS solutions  Cross-Functional Leadership  Partner closely with:  - Principal Manufacturing & Semantic Architect  - Principal Industrial AI Data Architect  - Principal Edge & OT Architect  - Platform Engineering Teams  - Manufacturing Operations  - Reliability Engineering  - Corporate Cybersecurity  - External Customers and Partners  Minimum Qualifications - Bachelor’s degree in Engineering, Computer Science, Cybersecurity, Information Systems, or related discipline; Associate's Degree with experience in process manufacturing will be considered   - 7+ years of experience in:  -  Industrial Control Systems  - Operational Technology  - Industrial Cybersecurity  - Manufacturing Architecture  - Deep expertise in:  - Purdue Enterprise Reference Architecture  - Industrial Network Segmentation  - IEC 62443  - NIST Cybersecurity Framework  - NIST SP 800-82    - Experience with:  - PLCs  - DCS platforms  - SCADA systems  - Industrial Historians  - Manufacturing Execution Systems    - Experience designing secure architectures for:  - - Industrial IoT  - Edge Computing  - Cloud Integration  - Digital Manufacturing Platforms  Preferred Qualifications - Experience with:  - AWS IoT Greengrass  - Industrial Digital Twin platforms    - Familiarity with:  - ISA-95  - ISA-88  - CFIHOS - Industrial AI and Machine Learning deployments    - Relevant certifications such as:  - GICSP  - CISSP  - ISA/IEC 62443 Cybersecurity Expert  - AWS Security Specialty  Leadership Experience - - Operate as the enterprise authority for industrial security architecture  - Influence organizational strategy without direct authority  - Balance innovation and risk management  - Drive adoption of secure-by-design principles across all digital manufacturing initiatives  - Establish reusable security patterns that accelerate deployment while maintaining compliance  Success Measures  - Success in this role will be measured by:  - Adoption of standardized edge-to-cloud security patterns  - Compliance with industrial cybersecurity frameworks  - Reduction of cybersecurity risk across manufacturing environments  - Secure enablement of industrial AI and analytics initiatives  - Successful deployment of scalable digital manufacturing platforms  - Elimination of ad hoc OT-to-cloud integrations  Other We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law. To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age.  Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.

Title: Principal Manufacturing & Semantic Architect Location: Remote, OH, US Department: Corporate Job Description: Company Overview Imagine Everything. Build the Future with Hexion. At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress—developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future. This is where bold thinkers, problem-solvers, and innovators come together to shape what’s next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward. We don’t follow the status quo—we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger. We invest in innovation, sustainability, and continuous development—equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide. Your Future Starts Here. If you’re ready to push limits, reimagine what’s possible, and create the extraordinary, Hexion is where you belong. Anything is possible when you imagine everything. Position Overview The Principal Manufacturing & Semantic Architect is a critical leadership role responsible for defining and governing the canonical data and semantic model that underpins Hexion's industrial digital platform. This role will establish how manufacturing assets, processes, materials, and data are consistently represented across: - Plant systems (OT) - Enterprise systems (IT) - Cloud platforms - AI/ML models - Customer-facing applications The successful candidate will bring deep expertise in industrial standards (ISA-95 / ISA-88) and translate complex manufacturing environments into scalable, structured data models that enable interoperability, analytics, and AI. Key Responsibilities 1. Define and Govern the Canonical Manufacturing Data Model Develop and maintain a standardized semantic model aligned with: - ISA-95 (enterprise-control integration) - ISA-88 (batch/process control) - Emerging industry standards (e.g., CFIHOS where applicable) Define core entities including: - Assets, equipment hierarchies, and locations - Materials, batches, and process segments - Operational states, events, and relationships Ensure consistent representation of manufacturing data across all systems. 2. Establish Semantic Standards and Data Contracts Define and enforce: - Data schemas - API and event contracts - Naming conventions and units of measure Partner with engineering teams to ensure adherence across: - Edge systems - Cloud services - Integration layers Prevent semantic drift across teams, platforms, and external partners. 3. Define Semantic Meaning and Canonical Structure of AI Features Define the semantic meaning and canonical structure of features used in predictive and optimization models. Establish what each feature represents in the context of manufacturing processes and operational data. - Define feature-level semantic definitions grounded in manufacturing domain knowledge - Ensure alignment between the meaning of training data and real-time operational data at the edge - Collaborate with data science teams to ensure models reflect real-world process behavior Note: The pipelines, storage, and lifecycle that deliver these features to AI models are owned by the Principal Industrial AI Data Architect. 4. Provide Semantic Translation Between OT, IT, and Digital Platforms Serve as the authority on semantic and data model translation between: - Plant floor systems (PLC, DCS, SCADA, historians) - MES and ERP systems - Cloud-based data and application platforms - Ensure data models are both technically robust and operationally practical. Note: Technical connectivity and protocol-level integration with OT systems are owned by the Principal Edge & OT Architect. 5. Support Platform Productization and External Solutions Design semantic models that ensure the data model scales across tenants, including: - Multiple manufacturing sites - Multi-tenant environments - External customer-facing products Ensure extensibility and long-term maintainability of the data model. Note: Data pipeline and access pattern design for multi-tenancy is owned by the Principal Industrial AI Data Architect. 6. Lead Governance and Continuous Evolution Establish versioning and lifecycle management for: - Data models - Schemas - Semantic definitions - Facilitate cross-functional alignment across engineering, operations, and data teams. Serve as the final authority on semantic architecture decisions. 7. Collaborate Across Teams Partner with: - Principal Edge & OT Architect (semantic model enforcement at the edge and OT data normalization) - Principal Industrial AI Data Architect (feature semantics and data pipeline alignment) - Platform Engineering (implementation of semantic standards in cloud services) - Plant Operations and Process Engineering teams (domain validation and real-world grounding) Ensure consistent execution across domains. Key Competencies - Strategic thinking with strong attention to detail - Ability to translate complex systems into structured models - Cross-functional leadership across OT, IT, and digital teams - Strong communication and stakeholder alignment skills - High ownership and accountability for architectural decisions Minimum Qualifications - Bachelor's degree in Engineering, Computer Science, Industrial Engineering, or related field (Master's preferred) - 10+ years of experience in manufacturing systems, industrial automation, or process engineering - 10+ years of experience in data modeling or system architecture in industrial environments - Demonstrated expertise in ISA-95 and ISA-88 standards and manufacturing data structures and hierarchies - Strong understanding of OT systems (PLC, DCS, SCADA, historians) - Strong understanding of MES and ERP integration patterns - Experience with relational and/or graph-based data modeling Preferred Qualifications Experience with: - ISA or similar industry data standards - Industrial IoT platforms or edge-to-cloud architectures - AI/ML applications in manufacturing environments - Cloud platforms (AWS preferred) Familiarity with: - Time-series data and event-driven architectures - Data governance frameworks Leadership Expectations - Operate as a thought leader in industrial data and semantic architecture - Influence without direct authority across multiple teams and partners - Drive standards adoption across internal and external stakeholders - Balance long-term architectural vision with near-term delivery needs Work Environment & Travel Travel to manufacturing sites and partner locations as needed (~10–25%). Other We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law. To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.

Title: Principal Edge & OT Architect Location: Remote, OH, US Department: Corporate Job Description: Company Overview Imagine Everything. Build the Future with Hexion. At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress—developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future. This is where bold thinkers, problem-solvers, and innovators come together to shape what’s next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward. We don’t follow the status quo—we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger. We invest in innovation, sustainability, and continuous development—equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide. Your Future Starts Here. If you’re ready to push limits, reimagine what’s possible, and create the extraordinary, Hexion is where you belong. Anything is possible when you imagine everything. Position Overview The Principal Edge & OT Architect is responsible for designing and governing the edge architecture and OT integration layer that connects manufacturing systems to the digital platform. This role ensures: - Reliable and secure data ingestion from plant systems - Consistent implementation of the semantic model at the edge - Support for real-time AI inference and decision-making This role ensures that what is designed in the cloud can actually work in the plant. Job Responsibilities 1. Define Edge Architecture and Runtime Design edge platform including: - Runtime environments (containers, orchestration) - Deployment models (on-prem, hybrid) Define integration with enterprise edge platforms and ensure scalability across multiple sites. 2. Integrate OT Systems (Technical Integration) Own the technical connectivity and protocol-level integration with OT systems: - Define integration patterns for PLCs, DCS, SCADA systems, historians, and industrial data sources - Support protocols such as OPC-UA, Modbus, and MQTT - Ensure compatibility with existing plant infrastructure Note: Semantic translation and data modeling for OT data are governed by the Principal Manufacturing & Semantic Architect. 3. Enforce Semantic Model at the Edge Ensure data is: - Normalized - Validated - Aligned with canonical definitions before leaving the plant Prevent "garbage-in" at scale. 4. Enable Edge-Based AI Inference Design architecture to support: - Local model execution - Real-time decision-making Ensure: - Low latency - High reliability - Offline capability 5. Design for Security and Compliance Implement: - Secure communication (outbound-only patterns) - Device identity and authentication - Certificate management Align with enterprise security standards. 6. Support Deployment and Lifecycle Management Define: - Edge deployment processes - Update mechanisms - Version control for edge components Ensure maintainability across sites and customers. 7. Collaborate Across Teams Partner with: - Principal Manufacturing & Semantic Architect (canonical model enforcement at the edge) - Principal Industrial AI Data Architect (data pipeline integration and edge inference data requirements) - Platform Engineering (cloud-to-edge deployment and orchestration) - Plant Operations teams (site-specific requirements and constraints) Ensure consistent execution across domains. Key Competencies - Deep understanding of plant operations and constraints - Ability to design practical, deployable solutions - Strong problem-solving in constrained environments - Cross-domain communication (engineering, IT, digital) Minimum Qualifications - Bachelor's degree in Engineering — Electrical, Computer, Chemical, Industrial, or related field (Master's preferred) - 10+ years of experience in OT systems, industrial automation, or edge/IoT architectures - Strong experience with PLC/DCS/SCADA systems and industrial protocols (OPC-UA, Modbus, MQTT) - Experience with edge-enabled inference model deployment - Experience integrating OT with IT/cloud platforms Preferred Qualifications - Experience with: - Enterprise edge platforms (e.g., Dell NativeEdge, Azure IoT Edge, AWS IoT Greengrass) - Containerized environments (Docker, Kubernetes) - Cloud platforms (AWS preferred) - Familiarity with: - Cybersecurity in OT environments - Real-time systems and constraints Leadership Expectations - Operate as a thought leader in edge architecture and OT integration - Influence without direct authority across multiple teams and partners - Drive standards adoption for edge deployment and OT connectivity across internal and external stakeholders - Balance long-term architectural vision with near-term delivery needs Work Environment & Travel Travel to manufacturing sites and partner locations as needed (~10–25%). Other We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law. To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.

Title: Senior Manager AI Architecture Innovation Location: Remote, OH, US Department: Corporate Job Description: Company Overview Imagine Everything. Build the Future with Hexion. At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress—developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future. This is where bold thinkers, problem-solvers, and innovators come together to shape what’s next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward. We don’t follow the status quo—we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger. We invest in innovation, sustainability, and continuous development—equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide. Your Future Starts Here. If you’re ready to push limits, reimagine what’s possible, and create the extraordinary, Hexion is where you belong. Anything is possible when you imagine everything. Position Overview Define and own the enterprise GenAI platform strategy that makes every AI use case at Hexion possible. Build and operate reusable GenAI platform services — grounding, orchestration, memory, evaluation, and LLMOps — as production-grade shared infrastructure that accelerates delivery across Commercial, Supply Chain, R&D, and Manufacturing. Reports to Director, AI Architecture This role is the engineering foundation of Hexion’s AI transformation. The Senior Manager will build the GenAI platform layer that accelerates every use case across the enterprise — making safe, reliable, production-grade AI the default, not the exception Job Responsibilities Define and execute the enterprise GenAI technology strategy and platform roadmap, aligning capabilities to business priorities and measurable outcomes across all domains. - Lead delivery of core GenAI platform services — retrieval/grounding, knowledge foundations, memory patterns, and agent orchestration — as reusable capabilities for teams across the enterprise. - Partner with Data & Analytics to ensure AI-ready data foundations: governed access, data quality, lineage/metadata, indexing pipelines, and standardized measurement and telemetry. - Establish LLMOps and AI quality standards: evaluation frameworks, release gates, drift monitoring, and lifecycle management for prompts and models to ensure consistent performance at scale. - Embed security, privacy, Responsible AI, and compliance-by-design across all solutions through guardrails, risk reviews, auditability, and red-teaming practices. - Own operational excellence and cost governance: reliability/SLOs, incident readiness, performance optimization, model routing/caching, and dashboards that manage latency and spend. - Run AI Innovation portfolio, guide architecture and design for AI POVs, act as SME on make vs buy vs partner Attributes - Platform architect mindset — builds shared, reusable GenAI infrastructure that makes every product team faster rather than solving one-off problems. - Engineering-first and delivery-oriented — pragmatic about what ships, not just what’s architecturally elegant; known for enabling teams rather than gatekeeping them. - Security and quality conscious — treats responsible AI, compliance-by-design, and operational reliability as core platform features, not afterthoughts. - Collaborative and credible — earns trust from product teams, data scientists, security, and business leaders through technical depth and clear communication Experience - 10+ years of progressive software architecture and 3-5 years of AI/ML engineering experience; at least 3 years directly owning GenAI platform strategy, LLMOps, or enterprise AI infrastructure delivery. - Demonstrated track record shipping GenAI or distributed AI systems at enterprise scale — from architecture and platform design through LLMOps, monitoring, and continuous improvement — with measurable reliability and performance outcomes. - Experience building and leading engineering teams in transformation-stage enterprises; ideally with exposure to specialty chemicals, industrial manufacturing, or process industries and their AI/data integration patterns Preferred Qualifications: Familiarity with AI security patterns: prompt injection defense, access controls, data governance, compliance-by-design, and cost governance for model routing and inference optimization. (Preferred) Specialty chemicals, industrial manufacturing, or process industry experience a plus — familiarity with IoT/sensor data, SAP AI extensions, and domain-specific AI use cases. (Preferred) Knowledge, Skills, Attributes and Experience (KSAEs) - 10+ years in software architecture, platform engineering, or 3-5 years AI/ML engineering; 3+ years leading GenAI or enterprise AI platform delivery at scale. - Deep expertise in the Microsoft/Azure ecosystem: Azure OpenAI, AI Foundry, Cognitive Services, Semantic Kernel, and enterprise-scale cloud architecture patterns. - Strong command of the full AI stack: experience surfaces, agentic orchestration (LangGraph, AutoGen, Semantic Kernel), knowledge/memory systems, model runtimes, evaluation frameworks, and infrastructure. - Proven track record shipping AI-driven or distributed software systems at enterprise scale, with measurable reliability, performance, and cost outcomes. - Strong understanding of hybrid AI architectures: local and cloud inference, model orchestration, multimodal runtimes, and RAG pipeline design. - Expertise in LLMOps: evaluation frameworks, release gates, prompt/model lifecycle management, drift monitoring, and responsible AI guardrails including red-teaming and auditability. - Hands-on proficiency with Azure AI Foundry, Azure OpenAI Service, Copilot Studio, and Microsoft Fabric; familiar with AKS/Kubernetes and CI/CD pipelines for AI workloads. Other We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law. To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.

Title: Agentic AI Engineer Location: Remote, OH, US Department: Corporate Job Description: Company Overview Imagine Everything. Build the Future with Hexion. At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress—developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future. This is where bold thinkers, problem-solvers, and innovators come together to shape what’s next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward. We don’t follow the status quo—we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger. We invest in innovation, sustainability, and continuous development—equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide. Your Future Starts Here. If you’re ready to push limits, reimagine what’s possible, and create the extraordinary, Hexion is where you belong. Anything is possible when you imagine everything. Position Overview Lead Hexion’s enterprise Agentic AI and automation strategy—architecting and scaling agentic AI capabilities, identifying automation opportunities across all business functions, championing AI fluency and a learning culture, and overseeing the execution and KPI governance of automation initiatives to deliver measurable business value across the organization. Job Responsibilities - Design and build agentic AI systems using modern frameworks such as Microsoft AutoGen, Semantic Kernel, LangGraph, LangChain, or CrewAI — including single-agent, multi-agent, supervisor, and handoff orchestration patterns. - Develop end-to-end agent logic: planning loops, tool use, structured outputs, short- and long-term memory, state management, and human-in-the-loop checkpoints. - Integrate Large Language Models (Azure OpenAI, Anthropic Claude, open-weight models) into business applications with attention to quality, latency, and cost. - Build Retrieval-Augmented Generation (RAG) pipelines — document parsing, chunking, embeddings, hybrid search, and reranking — against vector stores such as Azure AI Search, Databricks Vector Search, Pinecone, or FAISS. - Develop tools and connectors (including Model Context Protocol servers) that expose enterprise data sources and APIs as safe, well-documented actions for agents to call. - Apply prompt engineering best practices and build evaluation harnesses — golden datasets, LLM-as-judge, deterministic assertions — to measure and regression-test agent behavior. - Contribute to deployment and observability: package agents for production on Azure AI Foundry or Container Apps, add tracing (LangSmith, Langfuse, or OpenTelemetry), and help monitor token spend, latency, and failure modes. - Implement guardrails for content safety, PII handling, and safe-action confirmations before any write operation against enterprise systems. - Collaborate with product owners and subject-matter experts to translate business workflows into agent execution plans; prototype rapidly, demo, and iterate. - Maintain high code quality through Git-based workflows, code reviews, unit and integration testing, and clear technical documentation Minimum Qualifications - Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field — or equivalent hands-on experience. - 5+ years of professional software, AI/ML, or data engineering experience, including recent hands-on work with LLMs or agentic workflows (professional projects, internships, or substantive personal projects). - Strong proficiency in Python (asynchronous programming, typing, FastAPI or similar) and solid software engineering fundamentals — APIs, Git, testing, and version control. - Working knowledge of at least one agent framework: Microsoft AutoGen, Semantic Kernel, LangGraph, LangChain, LlamaIndex, or CrewAI. - Practical experience with LLM APIs (Azure OpenAI, Anthropic Claude, OpenAI, or Hugging Face models) including prompt engineering, function/tool calling, and structured outputs. - Understanding of core agentic concepts: multi-step reasoning, planning, tool use, memory, and multi-agent orchestration. - Familiarity with RAG patterns, vector databases, embeddings, and retrieval evaluation. - Exposure to cloud development on Microsoft Azure (Azure AI Foundry, Azure OpenAI, Azure Functions, Azure AI Search) or equivalent. - Self-directed learner who stays current with a fast-moving field, reads primary sources, and can teach themselves new frameworks with minimal guidance. - Strong problem-solving skills and the ability to work independently while collaborating across globally distributed teams. - Clear written and verbal communication; able to explain technical concepts to non-technical stakeholders. Preferred Qualifications - Hands-on experience with Microsoft Copilot Studio, Microsoft 365 Copilot extensibility, or declarative agent plugins. - Exposure to Palantir AIP, Foundry, or Ontology-driven AI applications. - Experience with Databricks (Mosaic AI, Unity Catalog, MLflow) or Snowflake Cortex. - Familiarity with Model Context Protocol (MCP), tool/function calling, and structured output schemas. - Exposure to LLM observability and evaluation tooling — LangSmith, Langfuse, Arize, or Weights & Biases. - Knowledge of GraphRAG, knowledge graphs, or semantic modeling. - Experience with CI/CD (Azure DevOps or GitHub Actions), Docker, and infrastructure-as-code (Terraform or Bicep). - Public portfolio — GitHub projects, technical blog posts, open-source contributions, or hackathon work — demonstrating curiosity and hands-on learning in generative or agentic AI. - Prior experience delivering AI applications in an enterprise setting, particularly in process industries, manufacturing, supply chain, or commercial analytics. Other We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law. To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision. Nearest Major Market: Canton Nearest Secondary Market: Akron