AI Powered SDLC Architect

Capgemini

Seattle (WA)

Hybrid

USD 89,000 - 207,000

Full time

5 days ago
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Benefits offered by this job

Paid time off
Medical coverage
Dental coverage
Vision coverage
401(k) plan
Life insurance
Disability insurance
Employee assistance

Job summary

Capgemini Engineering is hiring an AI-Powered SDLC Architect to design and run the AI-powered software factory behind a Siemens Teamcenter PLM modernization for Aerospace & Defense. You will craft an AI-accelerated DevSecOps pipeline and an agent-ready toolchain across onshore-offshore teams.

The role requires 10+ years in software architecture, experience with Teamcenter customization, and governance of responsible AI. Hybrid role in Seattle area.

Qualifications

  • 10+ years in software engineering or delivery architecture.
  • Proven use of AI-accelerated SDLC and agent-ready pipelines.
  • Experience with onshore-offshore squads and Teamcenter customization delivery.
  • Advisory and pre-sales experience is a plus.
  • Cloud (AWS / Azure) and infrastructure-as-code experience.

Responsibilities

  • Architect the AI-Powered software factory.
  • Design a modern DevSecOps / CI-CD pipeline and toolchain.
  • Define productivity and quality metrics.
  • Integrate the factory with Teamcenter customization 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.

Skills

AI-accelerated SDLC
Agent-ready pipelines
Responsible-AI governance
Onshore-offshore squads
Teamcenter customization
Cloud platforms AWS/Azure
Infrastructure as code
Advisory / pre-sales

Tools

Teamcenter
MCP-based tooling
DevSecOps tooling

Job description

AI Powered SDLC Architect

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 mostinnovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide 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 arethe same.

Location

This is a hybrid role based at Seattle Area (Everett/Bellevue, WA)

About the job you’re considering

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.
  • 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.
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.

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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.

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.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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