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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
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 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
An Equal Opportunity Employer including Disabled/Veterans
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Worksite address
kansas city, KS, 66115, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.