Enterprise AI Architect

Dow Chemical•Midland, TX

About The Position

Dow is hiring a senior individual contributor in its Enterprise Architecture organization to define the company’s enterprise AI architecture strategy. The role will develop reference architectures, standards, and roadmaps that enable business transformation and support corporate and business strategies. As the enterprise technical authority for AI architecture, the architect will create integrated application, information, and technology architectures that make AI adoption scalable, secure, and responsible across manufacturing and operations, R&D, commercial, and corporate functions. The role partners with business leaders, architects, engineers, data professionals, and cybersecurity teams to guide strategic technology decisions and align AI capabilities with enterprise architecture principles and long-term business objectives. The position is based in Midland, Michigan, or Houston, Texas. Relocation assistance is not provided.

Requirements

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.
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.
Ability to work legally in the United States; visa sponsorship or support, including for permanent residency, is unavailable.
Ability to develop enterprise architecture strategies, capability models, and reference architectures that align technology capabilities with business needs.
Ability to design AI architectures for machine learning, generative AI, retrieval-augmented generation (RAG), intelligent agents, and modern AI and data platform ecosystems.
Ability to architect AI solutions on lakehouse platforms, including data engineering, the machine learning lifecycle, model serving, and unified data and AI governance.
Ability to develop strategic technology roadmaps, evaluate emerging technologies and industry trends, and translate future capabilities into actionable plans.
Ability to establish and apply architecture governance and risk-based decision-making practices aligned with business objectives.
Ability to communicate complex technology and architecture concepts effectively to executives and stakeholders and build alignment through influential leadership.
Ability to assess financial considerations, expected business value, and investment trade-offs to support technology prioritization and investment decisions.

Nice To Haves

A degree in information technology, computer science, engineering, data science, or a related field.
Experience in manufacturing, industrial, engineering, energy, or other complex operational environments.
Architecture experience with Azure Databricks and modern enterprise data and AI platforms, including lakehouse, MLflow, model serving, agent frameworks, and unified data governance.
Experience architecting hybrid data and AI ecosystems, including SAP and Databricks.
Experience with Microsoft 365 Copilot and Copilot Studio for workforce productivity and low-code agent development.
Experience with enterprise data platforms and modern analytics technologies.
Knowledge of enterprise architecture frameworks such as TOGAF and experience with enterprise architecture management tools.
Experience engaging technology suppliers, industry forums, advisory boards, or strategic technology partnerships.

Responsibilities

Develop enterprise AI reference architectures, standards, roadmaps, and blueprints aligned with business strategy and enterprise transformation.
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 in AI, generative AI, intelligent agents, and automation.
Establish standards for building AI agents grounded in governed enterprise data and connected to business systems and other agents using open interoperability patterns such as MCP and A2A.
Run architecture governance to ensure strategic AI initiatives align with enterprise architecture principles, standards, and target-state architectures.
Evaluate emerging technologies, industry trends, and strategic supplier capabilities to advance AI adoption and strengthen enterprise capabilities.
Mentor architects and technology teams using architecture methods, reference architectures, position papers, and thought leadership to spread AI best practices.

Benefits

Equitable, market-competitive base pay and bonus opportunity, with locally relevant incentives.
Benefits and programs supporting physical, mental, financial, and social well-being.
Competitive retirement program that may include company-provided benefits, savings opportunities, financial planning, and educational resources.
Employee stock purchase programs, depending on location.
U.S. Student Debt Retirement Savings Match Program, which applies the value of monthly student debt payments as contributions to the Employees’ Savings Plan (401(k)).
Medical and life insurance packages with a variety of coverage options.
Travel insurance in certain countries and locations.
Training, mentoring, work experiences, community involvement, and team-building opportunities.
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 for Dow employees.
On-site fitness facilities, depending on location.
Employee discounts for online shopping, cinema tickets, gym memberships, and more.
Some locations may offer transportation allowances, meal subsidies or vouchers, and carbon-neutral transportation incentives.