• Serve as the GEV representative and focal point for the customer on the project, owning the customer relationship for the duration of the project, and driving customer issue resolution • Own project execution, including coordination of engineering, procurement, shipping logistics, field execution of outage scope and performance demonstration • Provide Project Leadership, effectively managing and facilitating cross-functional GEV teams to ensure on time delivery, contract deliverables fulfilment, and margin attainment/ enhancement • Actively identify, manage, and reduce, avoid and mitigate project risks throughout the project lifecycle

• Define project goals, scope, objectives, and deliverables in alignment with client requirements. • Lead and motivate project teams, ensuring clear communication, collaboration, and accountability. • Allocate resources effectively, manage project budgets, and monitor expenses to ensure costeffectiveness. • Identify potential risks and issues, develop mitigation strategies, and proactively address challenges to minimize project disruptions. • Maintain strong relationships with clients, vendors, and internal stakeholders, managing expectations and providing regular updates on project progress. • Ensure adherence to quality standards, review project documentation, and facilitate audits to maintain compliance with regulatory requirements. • Oversee the movement of materials, manage labeling processes, and ensure timely delivery of clinical supplies to support trial activities. • Drive process improvements, implement best practices, and seek opportunities to enhance project efficiency and effectiveness. • Prepare comprehensive project reports, documentation, and presentations for internal and external stakeholders.

• Assume overall project-level ownership and responsibility for publication accounts • Determine and refine specifications ahead of project initiation • Track and maintain the status of projects and their respective scopes, timelines, budgets, and deliverables • Proactively manage the account and be responsive to the client’s expectations and needs in project execution on a timely basis • Draft workflows/timelines and review to ensure they are drafted accurately • Formally initiate projects within WorkBook and with internal team members • Alert team members when project scope/budget has been approved and work may begin • Own the integrity and accuracy of the status report and other client deliverables • Draft recap of key takeaways for team finalization • Ensure that client meeting materials are accurately prepared • Assume ownership and responsibility for author relationships and their assigned tasks • Maintain an archive of all communications on the Citrus Health Group server (SharePoint) • Own entries within client project tracking software • Submits information to client databases for tracking physician payments, travel, meals, and gifts.

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.