Enterprise AI Architect

Dow

. Define Dow’s enterprise AI architecture strategy, including reference architectures, standards, and roadmaps .

Posted 11/4/2026full-timeUnited StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and implementing enterprise AI architecture strategies, including reference architectures and governance processes. Proficient in collaborating with cross-functional teams to drive AI adoption and influence technology strategy across complex operational environments.

Highest-signal resume keywords

Enterprise Architecture StrategyAI Architecture SkillsArchitecture GovernanceAzure Databricks ExperienceExecutive Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Enterprise ArchitectureAI ArchitectureMachine LearningData EngineeringDigital TransformationArchitecture GovernanceCapability ModelingReference ArchitectureUnified Data GovernanceTechnology Roadmapping

Soft Skills

Influence SkillsMentoringCollaborationCommunicationFinancial Acumen

Tools & Technologies

Azure DatabricksMicrosoft 365 CopilotMLflowSAPLakehouseAgent FrameworksEnterprise Data PlatformsModern Analytics TechnologiesTOGAFEnterprise Architecture Management Tools

Industry Keywords

ManufacturingEngineeringEnergyComplex Operational EnvironmentsAI AdoptionStrategic Technology PartnershipsEmerging TechnologiesIndustry TrendsGovernance ProcessesBusiness Transformation

Tech Stack

Tools & technologies

AzureCyber Security

About the role

Key responsibilities & impact

Define Dow’s enterprise AI architecture strategy, including reference architectures, standards, and roadmaps
Develop integrated application, information, and technology architectures for scalable, secure, and responsible AI adoption
Support AI adoption across manufacturing and operations, R&D, commercial, and corporate functions
Partner with business leaders, architects, engineers, data professionals, and cybersecurity teams on strategic technology decisions
Develop enterprise AI reference architectures, standards, roadmaps, and blueprints aligned with business strategy
Define and maintain integrated AI architecture capabilities across data, applications, processes, technology platforms, and governance
Guide solution teams, architects, and technology partners with architectural direction, reusable patterns, and technical leadership
Set standards for building AI agents grounded in governed enterprise data and connected to business systems through interoperability patterns such as MCP and A2A
Run architecture governance for strategic AI initiatives
Evaluate emerging technologies, industry trends, and strategic supplier capabilities
Mentor architects and technology teams through architecture methods, reference architectures, position papers, and thought leadership
Influence enterprise strategy through technical leadership, architectural governance, and thought leadership

Requirements

What you’ll need

Minimum of a bachelor’s degree, relevant military experience at or above a U.S. E5 ranking or Canadian Petty Officer 2nd Class or Sergeant, or 16 years of experience in lieu of a bachelor’s degree
Degree in information technology, Computer Science, Engineering, Data Science, or a related field preferred
Experience developing enterprise architecture strategies, reference architectures, roadmaps, and governance processes in large, complex organizations
Experience designing and implementing enterprise-scale AI, machine learning, analytics, automation, or digital transformation solutions
Experience influencing technology strategy, architecture decisions, and investment priorities across multiple business functions and technology domains
Experience working with business capabilities, end-to-end business processes, and enterprise transformation
Experience in manufacturing, industrial, engineering, energy, or other complex operational environments preferred
Ability to work legally in the United States
No visa sponsorship/support is available, including for any type of U.S. permanent residency process
Architecture experience with Azure Databricks and modern enterprise data and AI platforms preferred
Experience with lakehouse, MLflow, model serving, agent frameworks, and unified data governance preferred
Experience architecting hybrid data and AI ecosystems, including SAP and Databricks, preferred
Experience with Microsoft 365 Copilot and Copilot Studio preferred
Experience with enterprise data platforms and modern analytics technologies preferred
Knowledge of enterprise architecture frameworks such as TOGAF and experience with enterprise architecture management tools preferred
Experience engaging technology suppliers, industry forums, advisory boards, or strategic technology partnerships preferred
Enterprise architecture strategy, capability modeling, and reference architecture skills
AI architecture skills across machine learning, generative AI, retrieval-augmented generation, intelligent agents, and modern AI/data platforms
AI and data platform architecture skills, including data engineering, machine learning lifecycle, model serving, and unified data and AI governance
Technology strategy and roadmapping skills
Architecture governance and risk-based decision-making skills
Executive communication and influence skills
Financial acumen and business value assessment skills

Benefits

Comp & perks

Equitable and market-competitive base pay and bonus opportunity
Benefits and programs supporting physical, mental, financial, and social well-being
Competitive retirement program, including company-provided benefits, savings opportunities, financial planning, and educational resources
Employee stock purchase programs (availability varies depending on location)
Student Debt Retirement Savings Match Program (U.S. only)
Robust medical and life insurance packages
Travel insurance (available in certain countries/locations)
Training and mentoring opportunities
Work experiences, community involvement, and team building
Role-based workplace flexibility
Competitive yearly vacation allowance
Paid time off for new parents, including adoptive and foster parents
Paid time off to care for sick or injured family members
Paid time off for volunteering and Employee Resource Group participation
Wellbeing Portal
On-site fitness facilities (availability varies depending on location)
Employee discounts for online shopping, cinema tickets, gym memberships, and more
Transportation allowance (availability varies depending on location)
Meal subsidies/vouchers (availability varies depending on location)
Carbon-neutral transportation incentives, such as bike-to-work programs (availability varies depending on location)