AI Powered SDLC Architect

Capgemini • Seattle, WA

8h • Hybrid

About The Position

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. This is a hybrid role based at Seattle Area (Everett/Bellevue, WA). Capgemini is hiring an AI-Powered SDLC Architect to design and run the AI-Powered software factory behind a large, complex Siemens Teamcenter PLM modernization for a major Aerospace & Defense OEM. You make AI-accelerated delivery the norm - AI-assisted coding, testing and documentation inside a modern DevSecOps pipeline and you architect that pipeline to be agent-ready, all governed responsibly and operated across a blended onshore–offshore team.

Requirements

• 10+ years in software engineering or delivery architecture.
• Proven use of AI-accelerated SDLC.
• Experience designing agent-ready pipelines and responsible-AI governance.
• Experience enabling onshore-offshore squads.
• Working knowledge of PLM / Teamcenter customization delivery.

Nice To Haves

• Advisory and pre-sales experience is a plus.
• Experience with agentic development frameworks and MCP-based tooling is preferred.
• Cloud (AWS / Azure) and infrastructure-as-code experience is preferred.

Responsibilities

• Architect the AI-Powered software factory.
• Design a modern DevSecOps / CI-CD pipeline and an agent-ready delivery toolchain.
• Define productivity and quality metrics.
• Integrate the factory with Teamcenter customization and extension delivery.
• Establish responsible-AI governance.
• Enable onshore-offshore squads on shared standards and tooling.
• Mentor technical leads.
• Advise client and program leadership on AI-Powered SDLC strategy.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
• Company paid holidays
• Personal Days
• Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed