AI Platform Administrator

Ford Motor • Dearborn, MI

7d • Hybrid

About The Position

Enterprise Technology plays a critical part in shaping the future of mobility. If you’s looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are. The AI Platform Administrator is responsible for the operational governance, security, lifecycle management, and enterprise adoption of AI agents and agentic capabilities across the organization. This role serves as a platform lead helping to define strategy for agentic AI solutions across Microsoft Copilot, Google Gemini, Anthropic, and use of LLMs within the enterprise. The position ensures AI solutions are deployed securely, comply with corporate governance requirements, align with enterprise architecture standards, and deliver measurable business value. The AI Administrator works closely with developers, architects, cybersecurity, compliance teams, platform engineers, and business stakeholders to establish a scalable and governed AI ecosystem.

Requirements

• Bachelor's Degree in Computer Science, Information Systems, Engineering, Data Science, or related discipline.
• 5+ years of experience administering enterprise technology platforms.
• Deep understanding of agentic platforms, Large Language Models (LLMs), data grounding, orchestration, agentic automation, MCP services, responsible AI guardrails, and agent development
• Knowledge of citizens development, ALM strategies, security/compliance, and platform/operations management
• Experience configuring and administering one or more of the following platforms: Microsoft Copilot, Google Gemini, and Anthropic
• Experience with scripting languages, full stack, and AI development using programming languages such as Power Shell, Python, C#, and Java
• Understanding of agile project management, good communication, and team collaboration

Responsibilities

• Manage AI platforms, configuration settings, agent deployment policies, and capacity allocations.
• Manage AI platform configuration, licensing, consumption capacity, and feature enablement.
• Support enterprise onboarding processes for AI developers and business users.
• Define and manage agent registration, ownership, and lifecycle processes.
• Implement governance controls for agent discovery and ownership attestation.
• Develop automated lifecycle management and deployment practices.
• Develop and enforce enterprise AI governance frameworks.
• Partner with Legal, Privacy, HR, and Cybersecurity teams to ensure responsible AI practices.
• Partner with security teams to review AI threats, prompt injection risks, data leakage risks, and compliance requirements.
• Implement least-privilege security principles for agents and AI services.
• Monitor platform health, performance, and availability.
• Develop operational runbooks and support documentation.
• Establish cost attribution and chargeback models.
• Monitor AI consumption, licensing usage, and credit utilization.
• Forecast platform demand and capacity requirements.
• Define AI application lifecycle management (ALM) standards.
• Support source control, deployment automation, and release governance.

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level