AI Enterprise Architect

Job Description Serve as the enterprise technical leader for AI architecture and design, responsible for establishing standards and ensuring the scalability, security, and integrity of AI solutions across DFA. Partner closely with the enterprise product owner to translate business priorities into robust technical implementations and jointly deliver enterprise AI outcomes. Lead complex cross‑functional AI projects. Work independently to solve complex, high-risk issues and make architectural decisions with significant enterprise impact.

Contribute to long-term AI strategy.

Duties and Responsibilities:

Define enterprise AI architecture blueprint including Azure AI Foundry and integration patterns

Ensure alignment with data, cloud, and security architecture across ERP and CRM systems (e.g., SAP, Salesforce, JDE)
Evaluate AI/ML technologies aligned with enterprise standards

Lead end-to-end design of AI solutions

Translate business requirements into scalable technical designs

Guide implementation teams on architecture adherence

Embed responsible AI principles including transparency and traceability

Ensure compliance with enterprise and regulatory standards

Maintain architecture documentation

Act as technical advisor across stakeholders

Lead architecture reviews and design sessions

Partner closely with the enterprise product owner as a joint leadership model to align business priorities with technical execution

The requirements herein are intended to describe the general nature and level of work performed by employee, but is not a complete list of responsibilities, duties, and skills required. Other duties may be assigned as required

Job Requirements Undergraduate degree in Computer Science, Engineering, Data Science, or related curriculum (or equivalent combination of education and experience) (Master’s preferred)10+ years in solution architecture or engineering7+ years in AI/ML environments

Experience with cloud platforms and enterprise systems integration

Experience delivering production AI solutions

Strong understanding of distributed systems

Experience with MLOps and governance frameworks preferred

Deep expertise in AI/ML and GenAI architectures, including model deployment, integration, and lifecycle management

Strong command of enterprise cloud, data, and integration architectures (APIs, event‑driven systems, microservices)
Hands‑on understanding of MLOps, monitoring, scalability, and cost governance

Advanced knowledge of enterprise security, privacy, and compliance as they apply to AI systems

Proven ability to influence senior leaders and technical peers through expertise and credibility

Exceptional ability to translate business strategy into durable technical architectures

Comfortable operating with minimal direction in ambiguous, high‑impact environments

Must be able to read, write and speak English Able to travel 15-25% of the time

An Equal Opportunity Employer including Disabled/Veterans Job Details Job Type: Full Time Category:
Information Technology