Senior Director, AI Platform & Systems

Edwards; Irvine (CA); On-site; USD 232,000 - 329,000; Full time

Job summary

Edwards is seeking an experienced AI/Software Architect to lead the design of reusable, secure AI services and govern a multi-tenant AI platform for internal customers. You will shape reference architecture, define standards, and drive strategic decisions across the organization.

This role requires a strong track record in technical leadership, cloud AI platforms, MLOps, and cross-functional governance, with the ability to coach teams and align initiatives with business goals.

Qualifications

• Bachelor's degree plus 12 years of experience in software or AI architecture, including at least 5 years in a formal technical leadership or chief architect capacity.
• Experience negotiating a formal shared-capacity or co-delivery model with an internal IT organization.

Responsibilities

• Design reusable, secure, multi-tenant AI services that product and business teams can consume without rebuilding common capabilities.
• Operate the AI platform as an internal product with defined customers, roadmap, service levels, adoption measures, and developer experience.
• Chair the operating cadence of the AI Center of Excellence.
• Own build, buy, or rent decisions for AI capabilities, with the authority to stop an internal build.
• Own the reference architecture and enforce technical standards across all AI initiatives.
• Own the AI gateway, model routing, and observability layer.
• Build and lead delivery pods that include engineers from IT under a formal shared-capacity agreement.
• Own production reliability for AI applications.

Skills

AI architecture

Technical leadership

Education

Bachelor's degree

Job description

Edwards is seeking an experienced AI/Software Architect to lead the design of reusable, secure AI services and govern a multi-tenant AI platform for internal customers. You will shape reference architecture, define standards, and drive strategic decisions across the organization.

This role requires a strong track record in technical leadership, cloud AI platforms, MLOps, and cross-functional governance, with the ability to coach teams and align initiatives with business goals.