[Remote] Director, AI Architecture & Engineering - US Remote Job Details | Hexion Careers

Note: The job is a remote job and is open to candidates in USA. Hexion Inc. is a forward-thinking company that focuses on innovation and sustainability. They are seeking a Director of AI Architecture & Engineering to own the full-stack AI engineering and architecture foundation that supports their CaaS transformation, designing and operating an enterprise AI platform across various domains.ResponsibilitiesDefine 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)Skills10+ years in AI/ML engineering, data engineering, or enterprise architecture; 3+ years in a senior technical leadership role owning an AI platform or engineering teamDeep expertise in GenAI/LLM systems: RAG, fine-tuning, prompt engineering, agentic frameworks (LangGraph, CrewAI, AutoGen), and multi-agent orchestration at enterprise scaleMLOps mastery: model lifecycle management, CI/CD for ML, drift monitoring, feature stores, model registries (MLflow, Kubeflow, SageMaker, Azure ML), and inference optimizationCloud-native AI infrastructure: Azure/AWS AI services, containerized ML workloads (Docker/Kubernetes), event-driven architecture (Kafka), APIs, IaC, and observability/SRE practicesData 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 codePrior experience building AI teams from the ground up in transformation-stage or industrial enterprises; track record of hiring and growing ML engineers and data engineersCompany OverviewBased in Columbus, Ohio, Hexion Inc. is a leading global producer of adhesives and performance materials. It was founded in undefined, and is headquartered in Columbus, Ohio, USA, with a workforce of 1001-5000 employees. Its website is https://www.hexion.com/.Company H1B SponsorshipHexion Inc. has a track record of offering H1B sponsorships, with 3 in 2025, 4 in 2024, 3 in 2023, 6 in 2021, 2 in 2020. Please note that this does not guarantee sponsorship for this specific role.