AI Powered SDLC Architect

Capgemini Engineering; Seattle (WA); On-site; USD 89,000 - 207,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, and vision coverage

Retirement savings plans

Life and disability insurance

Employee assistance programs

Job summary

Capgemini Engineering is seeking an AI-Powered SDLC Architect to design and run the AI-powered software factory for a Siemens Teamcenter PLM modernization in Aerospace & Defense. You will architect a governance-driven, agent-ready DevSecOps pipeline that spans onshore and offshore teams and integrates with Teamcenter customization.

You will mentor technical leads, define metrics, and advise leadership on SDLC strategy, leveraging cloud platforms and MCP tooling where applicable.

Qualifications

• 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.
• 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.
• Enable onshore-offshore squads on shared standards and tooling.
• Mentor technical leads.
• Advise client and program leadership on AI-Powered SDLC strategy.

Skills

AI/SDLC

Agent-ready pipelines

Onshore-offshore delivery

Teamcenter/PLM integration

Advisory and pre-sales

MCP tooling experience

AWS/Azure cloud

Tools

Teamcenter customization

MCP-based tooling

Infrastructure as Code

Job description

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.

Your Role

• 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.
• Enable onshore-offshore squads on shared standards and tooling.
• Mentor technical leads.
• Advise client and program leadership on AI-Powered SDLC strategy.

Your Skills and Experience

• 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.
• 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.

The base compensation range for this role in the posted location is: $88,544 - $207,401/Year

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• 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

Important Notice:

Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law