Strategic AI Enterprise Architect

Dairy Farmers of America, Inc.

Kansas City (KS)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Dairy Farmers of America, Inc. seeks an enterprise AI architect to lead architecture and design of scalable AI solutions across DFA. You will partner with product owners to translate business priorities into robust implementations and guide跨-functional teams in architecture adherence, security, and compliance.

The role requires 10+ years in architecture, 7+ years in AI/ML environments, and travel 15-25%. Strong English Proficiency is required.

Qualifications

10+ years in solution architecture or engineering.
7+ 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.

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.
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.