Principal AI Platform Engineer

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 -

The role

Our agents are only as good as the knowledge and context they run on, and in claims, payments, and health that knowledge is regulated, sensitive, and scattered across client estates. You will own the knowledge layer all three product lines build on: the enterprise knowledge graph that makes domain intelligence query able, the governed retrieval plane that grounds every agent answer, the context engineering discipline that decides what enters a model's context window and at what cost, and the knowledge lifecycle that keeps what agents know current, versioned, and auditable. This is a platform leadership role with a governance mandate, not a governance role at platform distance.

What you will own

o The enterprise knowledge graph: ontology and schema design, the pipelines that build and refresh it from production data, and graph retrieval as a first-class platform capability for the product lines.
o RAG optimisation end to end: chunking and embedding strategy, hybrid and graph-augmented retrieval, reranking, and the evaluation harness that measures grounding, relevance, and freshness and gates regressions in CI.
o Context engineering as a platform discipline: what enters each agent's context window, in what order, and at what token budget, as shared patterns the product lines adopt instead of bespoke prompt plumbing.
o Knowledge management for AI systems: the lifecycle from source documents to governed, versioned knowledge agents may use; curation, provenance, freshness, and deprecation, per tenant and per caller.
o The agent memory plane: how episodic and precedent memory is written, recalled, and governed across the product lines.
o Permission-aware retrieval where the caller's identity travels with every query, including document-level access controls, multi-tenant isolation, and immutable audit trails.
o The data flywheel for model adaptation: production data, curated and governed, becomes the training and evaluation datasets behind the LLMs and SLMs we tune ourselves.

What you will need

o Graph engineering depth: experience designing ontologies and graph schemas and operating production graph systems such as Neo4j or comparable platforms.
o RAG in production: experience building and optimizing retrieval pipelines, including embedding strategy, hybrid search, reranking, and retrieval evaluation.
o Context engineering fluency: the ability to treat the context window as an engineered, budgeted artifact and build context assembly, compaction, or agent memory systems.
o Knowledge management for AI: curation, provenance, and versioning of enterprise knowledge for machine consumption, not just human search.
o Regulated-data credentials: experience operating under financial-services data regulation or GDPR, with auditability designed from day one.

The base compensation range for this role in the posted location is: 10000- 140000

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.