Director, AI Architecture & Engineering - US Remote

Date: May 8, 2026 Location: 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. Role Mission Own the full-stack AI engineering and architecture foundation that powers Hexion’s CaaS transformation. Design, build, and operate the enterprise AI platform — spanning data infrastructure, ML/LLM pipelines, agentic systems, MLOps, and AI governance — that enables every domain (Commercial, R&D, Manufacturing, Supply Chain) to deploy production-grade AI at speed. Job Responsibilities Define and own Hexion’s enterprise AI architecture: multi-agent frameworks, LLM/GenAI platforms, ML pipelines, data layer, and integration patterns across SAP S/4HANA, Salesforce, OSIsoft PI, and cloud environments (Azure/AWS).​ Build and scale the agentic AI platform: multi-agent orchestration (LangGraph/CrewAI), RAG pipelines, tool-calling frameworks, guardrails, and human-in-the-loop controls for autonomous workflows across business functions.​ Establish and operate enterprise MLOps: model registry, CI/CD for AI, model versioning, drift monitoring, inference optimization, and closed-loop retraining pipelines — ensuring all models are production-grade and auditable.​ Architect the data foundation for AI: feature stores, semantic/vector layers, real-time streaming (Kafka/event-driven), data quality pipelines, and synthetic data generation for specialty chemicals use cases.​ Lead AI security and responsible AI engineering: prompt injection defense, model explainability (XAI), bias detection, access controls, and compliance with enterprise data policy and regulatory requirements (REACH, GHS, SOX).​ Serve as the technical authority connecting AI CoE, IT, domain teams (R&D, commercial, manufacturing), and external vendors — translating business requirements into scalable AI system designs.​ Evaluate and manage AI technology vendors, cloud providers, and open-source frameworks; make strategic buy/build/partner decisions for the AI stack with clear cost, capability, and risk analysis.​ Build and lead the AI engineering team: ML engineers, data engineers, LLM engineers, MLOps specialists, and AI platform engineers — hiring, mentoring, and creating a culture of engineering excellence.​ Champion engineering standards: modular/reusable AI solution patterns, API-first design, observability, SRE practices for AI systems, and documentation to accelerate cross-functional deployment.​ Drive Hexion’s Perception Intelligence, Predictive Modeling, and Adaptive Closed-Loop Control capabilities — including sensor fusion from OSIsoft PI, digital twin integration, and process optimization AI for manufacturing.​ Own the AI infrastructure roadmap — balancing rapid experimentation and disciplined production delivery — and report engineering KPIs, platform reliability, and build-vs-buy decisions to VP/Director, AI Transformation (Sambit). Knowledge, Skills, Attributes and Experience (KSAEs) 10+ years in AI/ML engineering, data engineering, or enterprise architecture; 3+ years in a senior technical leadership role owning an AI platform or engineering team.​ Deep expertise in GenAI/LLM systems: RAG, fine-tuning, prompt engineering, agentic frameworks (LangGraph, CrewAI, AutoGen), and multi-agent orchestration at enterprise scale.​ MLOps mastery: model lifecycle management, CI/CD for ML, drift monitoring, feature stores, model registries (MLflow, Kubeflow, SageMaker, Azure ML), and inference optimization.​ Cloud-native AI infrastructure: Azure/AWS AI services, containerized ML workloads (Docker/Kubernetes), event-driven architecture (Kafka), APIs, IaC, and observability/SRE practices.​ Data architecture for AI: feature engineering, vector/semantic layers, real-time streaming, data quality pipelines, and integration with industrial systems (OSIsoft PI, SAP S/4HANA, Salesforce or Dynamics 365).​ Responsible AI engineering: XAI/explainability, bias detection, prompt injection defense, AI security, and compliance frameworks relevant to specialty chemicals (REACH, GHS, data sovereignty).​ High level of proficiency with ERP and advanced planning systems (SAP IBP, S/4HANA, APO, o9, Kinaxis).​ Python/SQL fluency; working knowledge of ML frameworks (PyTorch, scikit-learn, HuggingFace); ability to review and contribute to production AI code. (Preferred)​ Prior experience building AI teams from the ground up in transformation-stage or industrial enterprises; track record of hiring and growing ML engineers and data engineers. (Preferred) 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