Senior Enterprise AI Architect

dfa; Kansas City (KS); On-site; USD 140,000 - 200,000; Full time

Job summary

DFA is seeking an enterprise technical leader for AI architecture to define standards and assure scalability, security, and integrity of AI solutions. The role partners with the enterprise product owner to translate business priorities into robust technical implementations and to deliver enterprise AI outcomes.

Responsibilities include leading complex cross-functional AI projects, solving high-risk issues, and shaping long-term AI strategy while embedding governance and responsible AI principles.

Qualifications

• Bachelor's or undergraduate degree in CS/Engineering/DS or related field (Master’s preferred).
• 10+ years in solution architecture or engineering.
• 7+ years in AI/ML environments.
• Experience with cloud platforms and enterprise systems integration.
• Proven ability to influence senior leaders and technical peers.

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).
• Lead end-to-end design of AI solutions and translate business requirements into scalable designs.
• Guide implementation teams on architecture adherence and governance.
• Embed responsible AI principles including transparency and traceability.
• Lead architecture reviews and design sessions with stakeholders.

Skills

AI/ML architectures

GenAI architectures

MLOps

Enterprise cloud

Security & compliance

Stakeholder influence

Architectural leadership

Education

Undergraduate degree in Computer Science, Engineering, Data Science, or related field

Tools

Azure AI Foundry

MLOps platforms

Job description

DFA is seeking an enterprise technical leader for AI architecture to define standards and assure scalability, security, and integrity of AI solutions. The role partners with the enterprise product owner to translate business priorities into robust technical implementations and to deliver enterprise AI outcomes.

Responsibilities include leading complex cross-functional AI projects, solving high-risk issues, and shaping long-term AI strategy while embedding governance and responsible AI principles.