AI Systems and Platforms Resource

Role: AI Systems and Platforms Resource

Location: Irvine, California · On-site

Role overview

The AI Systems and Platforms Resource will operate the enterprise AI platform as an internal product and establish reusable architecture, standards, and operating practices. The role will lead the AI Center of Excellence (CoE) cadence, enable delivery teams, and guide platform-portfolio and investment decisions.

Key responsibilities

Own the AI platform roadmap, service levels, customer experience, adoption measures, and production reliability.

Define reusable AI reference architecture, including gateway, model routing, and observability capabilities; ensure initiatives meet technical and security standards.

Lead the CoE operating cadence, align cross-functional stakeholders, and guide responsible AI adoption.

Build and lead delivery pods through shared-capacity arrangements with IT, providing hands-on technical direction and coaching.

Rationalize AI platforms and vendors, manage spend attribution, and make build-versus-buy decisions, including recommending when to stop a build.

Experience and capabilities

Experience building, operating, or governing enterprise AI platforms or shared technology services.

Strong understanding of AI platform architecture, model integration and routing, observability, security, and production operations.

Ability to lead cross-functional governance and delivery models, while providing practical technical guidance.

Experience with vendor and portfolio assessment, investment trade-offs, and platform adoption measures.

Strong communication and organizational leadership skills, with a responsible-AI mindset.

Desired outcomes

A reliable and adopted AI platform with clear service expectations, reusable standards, coordinated delivery capacity, and disciplined portfolio investment.

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