Enterprise AI Architect
dowHouston, TX
About the role
Overview:
As Enterprise AI Architect at Dow, you define AI architecture strategy, standards, and roadmaps to enable business transformation. You act as the technical authority to scale, secure, and govern AI across manufacturing, R&D, and corporate functions. You will partner with leaders, architects, data teams, and cybersecurity to align AI with enterprise principles and long-term goals. This senior IC role emphasizes governance, thought leadership, and cross-functional impact, offering a meaningful opportunity to shape Dow’s AI-enabled future. Compensation / Benefits base pay and bonus comprehensive health and wellbeing programs retirement program employee stock purchase program paid time off including parental leave volunteering and ERG participation
Responsibilities:
Develop enterprise AI reference architectures, standards, roadmaps, and blueprints aligned to business strategy Maintain integrated AI architecture across data, applications, processes, technology platforms, and governance Provide architectural direction and leadership for AI, generative AI, intelligent agents, and automation Set standards for AI agents (data-grounded, interoperable) and connect them to business systems Run architecture governance to ensure AI initiatives meet enterprise principles and target-state architectures Evaluate emerging technologies and supplier capabilities to advance AI adoption Mentor architects and technology teams through methods, reference architectures, and thought leadership Support end-to-end business solutions with architecture patterns and governance
Key requirements:
Bachelor’s degree or equivalent experience (military or 16 years experience in lieu of degree) Experience developing enterprise architecture strategies, roadmaps, and governance in large organizations Experience designing and implementing enterprise-scale AI, ML, analytics, automation, or digital transformation Experience influencing technology strategy and investment across functions and domains Experience with business capabilities, end-to-end processes, and enterprise transformation Experience in manufacturing/industrial/operational environments preferred Authorized to work in the United States (no visa sponsorship)
Preferred:
Azure Databricks, lakehouse platforms, MLflow, model serving, agent frameworks, unified data governance TOGAF knowledge and enterprise architecture tooling experience Experience with SAP, Databricks, and Copilot platforms (preferred) strategic thinking executive communication cross-functional collaboration Azure Databricks lakehouse architectures MLflow
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JOB OVERVIEW
Experience level
Manager
Location
Houston, TX
Occupation
Computer Systems Engineers/Architects
Industry
Computer Systems Design Services
Posted
today
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