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Added just now
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Capgemini

Principal AI Engineer

Atlanta, GA, GA, United States

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Job details

Apply by: Jan 1, 2027
Experience: 15+ years of software engineering, platform engineering, or infrastructure leadership experience.
Posting language: English
Posted: Nov 3, 2026

Original job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description

Role Summary

Lead the vision, strategy, and delivery of a next-generation AI platform that enables scalable, secure, and compliant AI solutions across multiple product teams. Own the platform roadmap, engineering standards, model lifecycle, and adoption outcomes while driving innovation at the forefront of AI.

Key Responsibilities

Define and execute the AI platform strategy, roadmap, and operating model. Lead platform services including model serving, agent runtime, workflow orchestration, tenancy, metering, observability, and governance. Drive build-vs-buy decisions across AI infrastructure, open-source technologies, and commercial platforms. Establish AI evaluation, fine-tuning, reinforcement learning, and feedback loops to continuously improve platform capabilities. Ensure compliance, auditability, security, and responsible AI practices for regulated environments. Partner with product teams to enable adoption and accelerate delivery outcomes. Manage platform capacity, service maturity, engineering standards, and self-service capabilities. Build and lead high-performing platform engineering teams.

Required Qualifications

15+ years of software engineering, platform engineering, or infrastructure leadership experience. Proven success leading shared platforms supporting multiple product or business teams. Deep expertise in AI/ML platforms including LLM serving, model gateways, vector databases, agent frameworks, evaluation systems, and guardrails. Strong knowledge of cloud platforms (AWS, Azure, or GCP), Kubernetes, Infrastructure as Code, and modern DevOps practices. Experience translating emerging AI research into practical engineering strategy and platform capabilities. Experience operating within regulated industries, preferably Financial Services or Insurance. Strong platform-as-a-product mindset with focus on adoption, developer experience, and business outcomes.

Preferred Qualifications

Experience with RLHF, RLAIF, fine-tuning, distillation, or post-training of AI models. Expertise in AI observability, FinOps, and large-scale LLM cost optimization. Experience with agent ecosystems, evaluation platforms, and knowledge graph architectures. Contributions to open-source AI infrastructure or published work in agentic AI systems. Deep Financial Services, Banking, Insurance, or Payments domain experience.

Ideal Candidate

A hands-on AI platform leader who combines platform engineering excellence, AI innovation, cloud-scale architecture, and regulated-industry expertise to build and operate enterprise-grade AI platforms adopted across the organization.

The base compensation range for this role in the posted location is 191583 - 272584

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

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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More about this job

Skills

Workflow
Regulatory compliance
ML
Grading systems
AWS
Microsoft Azure
Google Cloud
Kubernetes
Infrastructure as code
DevOps
Research
Onboarding

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