Title: Senior Enterprise Architect Location: OH Richfield-3250 Interst Job Description: Full time job requisition id R9074 National Interstate is a member of Great American Insurance Group. As one of the leading commercial transportation insurers in the nation, we offer risk financing solutions in all 50 states tailored to meet the needs of a wide variety of transportation classes. Our offerings include traditional insurance and innovative alternative risk transfer (ART) programs, including more than a dozen group captive programs catering to niche wheels markets. We are proud to be a multiple Northcoast 99 winner and Cleveland Plain Dealer Top Workplace in Northeast Ohio. It is because of our talented and dedicated team that we are able to live out our company values of integrity, transparency, fairness, accountability, empowerment and collaboration with each transaction we make. If you are ready to join an engaging and driven team such as ours, we would love to hear from you! At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best. Since 1989, National Interstate has specialized in serving the insurance needs of the wheels-based transportation industry. Our steadfast focus on developing niche expertise in product design, loss control and claim services has made National Interstate one of the most respected names in commercial transportation insurance today. (https://natl.com/) National Interstate is looking for a Senior Enterprise Architect to join their team. This individual will work hybrid from the Richfield, OH office 2 days per week. National Interstate’s culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be on-site a minimum of two days a week, with the potential to work three days remotely. Core in‑office days are Tuesday and Wednesday but will be determined by business needs. Essential Job Functions and Responsibilities - Defines and drives the long-term enterprise architecture vision, ensuring alignment between business strategy and technology investments across the organization. - Partners with business and IT leadership to shape technology roadmaps, influence strategic initiatives, and ensure enterprise architecture supports business transformation and innovation. - Ensures current and future business needs are met through scalable, sustainable, and adaptable technology solutions. - Establishes and governs enterprise-wide standards, frameworks, and reference architectures to promote consistency and interoperability across platforms and business units. - Leads the evaluation of emerging technologies, assessing their strategic fit and potential impact on enterprise capabilities and competitive advantage. - Provides guidance on complex technology decisions, balancing risk, performance, and business priorities. - Acts as a trusted advisor to senior stakeholders, influencing enterprise technology strategy and investment decisions. - May have responsibility for performance and coaching of staff and may have a participatory role in decisions regarding talent selection, development, and performance management for direct reports. - Performs other duties as assigned. Job Requirements Education: Bachelor’s or Master’s degree in information technology, Computer Science or a related field. Experience: Generally, a minimum of 14 years of experience enterprise architecture, or a related field. Completion of or continuing progress toward a Professional certifications preferred, such as AWS Certified Solutions Architect, TOGAF, or equivalent cloud/architecture credentials. Prefer: - Experience with Cloud Platforms - Background in Microservices & Modern Architecture Platforms - Knowledge of Enterprise Data Platforms & Analytics Ecosystems - Experience working with AI Agents - Strong Software Development Background Scope of Job/Qualifications: Sets the enterprise architecture vision and directs multi‑year roadmaps that drive business transformation. Demonstrates extensive enterprise/solution architecture experience across multiple domains and experience directing large-scale modernization and optimization efforts. Expert knowledge of enterprise architecture frameworks (e.g., TOGAF). Expertise in EA methods and artifacts (e.g., capability/value‑stream models, reference architectures, standards, roadmaps). Proven ability to translate strategy into target/transition architectures and rationalize portfolios with clear cost–benefit. Requires in-depth knowledge across multiple technical areas and business segments. Performs work under limited supervision. Expert analytical and problem-solving skills. Excellent stakeholder engagement and communication skills, with the ability to influence at all levels. Proven ability to lead multi‑team initiatives and mentor and develop architects and technical leaders. Recognized as a subject matter expert on the team and across the organization. Company: NIIC National Interstate Insurance Company Benefits: We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits. Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. *Excludes seasonal employees and interns.

• Lead your team to serve a portfolio of Slack's largest and most strategic customers, ensuring those customers successfully adopt, deeply integrate, and continuously derive business value from Slack • Develop the strategy, programs, and operational cadences to effectively leverage your team's technical depth and deliver best-in-class engagements across customer segments • Advocate for your customers and your team by driving alignment across Account Success, Product, and Support • Build and develop a high-performing team that lives Salesforce's values, empowering your Success Architects to be the definitive technical resource for enterprise customers • Directly influence customer health, retention, and expansion outcomes by ensuring your team delivers high-quality engagements across the full Success Architect portfolio • Contribute to Slack's Customer Success vision and strategy, and deliver team targets and key metrics through operational excellence and disciplined execution • Engage in account strategy for key and at-risk customers, model technical best practices for your team, and develop case studies and references that showcase the value of Slack at scale • Align the full Slack ecosystem to customer needs and foster a vibrant, inclusive team culture that inspires people to do their best work

• 8+ years of relevant experience. • Expertise in Oracle Configure Price Quote (CPQ) Cloud applications and concepts. • Proficient in BML and BMQL code to cover complex business use-cases. • Knowledge of the Solution Design/Technical Design, layout and configuration of the CPQ implementation and related applications. • Should be familiar with CPQ implementation best practices and standard documentation. • Should have hands on experience in writing HLDs/LLDs. • Strong skills in JavaScript, HTML, CSS, XML. • Integration experience of Oracle CPQ with CRM/ERP like OSC, Salesforce, EBS, JDE etc. and other 3rd party applications. • Experience with web services standards and technology including WSDL, SOAP, REST, XSL. • Minimum 2 end-to-end Oracle CPQ implementations. • Must have certifications Oracle (CPQ certified Implementation specialist).

Role Description The AI/ML Practice Architect is a senior, hands-on technical leader who combines solution architecture and customer consultation with deep applied AI/ML engineering capability. This role accelerates practice growth by shaping repeatable offerings, guiding delivery excellence, and building production-grade AI systems — especially GenAI/LLM, retrieval, evaluation, and agentic workflows — integrated into customer platforms. This role will travel as needed, which includes customer onsite workshops, executive presentations, delivery kickoffs, and internal practice events. Why This Role Exists - Drive measurable customer outcomes by designing and delivering AI/ML and GenAI solutions end-to-end (discovery → build → deploy → operate). - Scale TGS AI capabilities through reusable playbooks, reference architectures, accelerators, and enablement. - Partner with Sales and Delivery to shape, price, and win work; serve as a trusted advisor in pre- and post-sales engagements. Key Outcomes (First 6–12 Months) - Establish (or evolve) the AI/ML Solution Playbook: discovery templates, context/RAG patterns, evaluation rubrics, and governance/guardrails. - Deliver 2–4 production deployments (or major releases) demonstrating reliability, safety, and business value; publish reusable artifacts to the practice repository. - Create a reference architecture for agentic AI/LLM systems (tool use, memory, orchestration, human-in-the-loop controls, observability). - Improve delivery predictability: clear estimation models, quality gates, and SDLC/MLOps/LLMOps standards aligned to DevOps principles. - Support GTM: contribute to proposals, SOWs, pricing, case studies, demos, and executive narratives that help land-and-expand accounts. Core Responsibilities - Practice Architecture & Consulting (Customer Value + Growth): - Lead customer discovery and value definition: map current/future-state workflows, define success metrics, and translate business goals into technical requirements. - Design solution architectures and delivery approaches; document assumptions, risks, dependencies, and cost/effort estimates. - Create and maintain practice solution content: reference architectures, accelerators, templates, delivery playbooks, and pricing guidance. - Partner with Sales, Solutioning, Delivery Leadership, and Practice Directors on pre-sales strategy, proposals, and executive communications. - Mentor consultants/engineers: design reviews, technical coaching, and best-practice enablement across engagements. - Continuously optimize delivery processes, promote reuse, and champion innovation rooted in measurable customer impact. - AI/ML Engineering & Delivery (Hands-on Technical Leadership): - Build and ship production AI/ML systems including model integration, data pipelines, services, and user experiences. - Design and implement GenAI/LLM solutions: prompt & context engineering, RAG grounding, embedding/vector store strategies, and latency/quality trade-offs. - Evolve prompted workflows into agentic AI: durable execution, tool use, memory, orchestration (single- and multi-agent), and human-in-the-loop gates. - Establish evaluation and experimentation rigor: offline/online tests, human + AI evaluation rubrics, error taxonomies, and KPI instrumentation. - Implement security, safety, and compliance controls: PII handling, prompt-injection mitigations, model risk management, and red-teaming. - Operationalize MLOps/LLMOps: CI/CD, model/version management, observability, drift/feedback loops, and incident response. - Leadership, Accountability & Cross-Functional Influence: - Drive execution cadence with clear gates, owners, and KPIs from discovery through launch. - Hold self and others accountable to commitments; proactively resolve issues before they impact customers. - Communicate trade-offs, impact, and risk to technical and non-technical stakeholders; produce executive-ready narratives and artifacts. - Support practice hiring/interviewing and capability building as needed; contribute to internal communities of practice. Qualifications - 8 or more years in full stack software engineering, data engineering, ML engineering, or applied AI, including delivery in customer-facing or consulting environments. - 3 or more years building and deploying ML/LLM/GenAI-powered products (e.g., prompt/context engineering, RAG, evaluation, and guardrails). - Strong solution architecture skills: requirements gathering, estimation, system design, and leading technical decisions across teams. - Proficiency in Python and at least one of: TypeScript/JavaScript, Java, Go, or Rust; experience building APIs and services (e.g., FastAPI, Django, Node/Express). - Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker); familiarity with Kubernetes is a plus. - Ability to influence across stakeholders (Sales, Delivery, Engineering, Product, Security/Privacy) and communicate effectively at multiple levels. Preferred Qualifications - Experience deploying or fine-tuning open-source LLMs (e.g., Hugging Face, vLLM, Ollama) and/or using managed services (e.g., Azure OpenAI, Bedrock, Vertex AI). - Hands-on experience with agent frameworks/orchestration (e.g., LangGraph, AutoGen, CrewAI) and tool integration patterns. - Experience with vector databases and semantic search (e.g., Pinecone, Weaviate, Chroma) and advanced RAG/knowledge graph techniques. - Experience leading small teams or technical workstreams while remaining hands-on. - Exposure to regulated environments (e.g., Finance & Healthcare) and formal security/privacy review processes. Success Profile (Competencies & Behaviors) - Manages Complexity: Integrates diverse inputs, clarifies ambiguity, and translates business and technical constraints into actionable architecture and delivery plans. - Customer Focus: Builds trusted relationships, aligns to measurable outcomes, and delivers customer-centric solutions with quantified impact. - Communicates Effectively: Delivers clear multimode communication; explains trade-offs, risks, and “the why” behind decisions to technical and non-technical audiences. - Ensures Accountability: Owns outcomes, meets commitments, escalates early, and drives execution to closure. - Cultivates Innovation: Creates new and better ways for the organization to be successful; promotes reuse and continuous improvement. - Optimizes Work Processes: Designs efficient delivery processes; improves quality through automation, standards, and playbooks. - Nimble Learning / Self-Development: Learns through experimentation, seeks feedback, and stays current with AI/ML and GenAI trends. - Collaborates: Builds partnerships across Sales, Delivery, Engineering, and customer teams to meet shared objectives. - Decision Quality: Makes good and timely decisions using decision criteria, trade-offs, and risk mitigation. - Manages Ambiguity / Situational Adaptability: Operates effectively when the path is unclear; adapts approach to shifting constraints and stakeholder needs. - Drives Results: Consistently delivers results under tough circumstances and focuses on key goals during setbacks. Job Type & Location This is a Permanent position based out of Baltimore, MD. Pay and Benefits The pay range for this position is $136,000.00 - $204,000.00/yr. We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. - Medical, Dental, and Vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life and AD&D for employee and dependents) - Short and Long-Term Disability - Health Spending Account (HSA) - Transportation Benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Jun 19, 2026.