Principal AI Engineer
About The Position
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. The role leads platform services such as model serving, agent runtime, workflow orchestration, tenancy, metering, observability, and governance. It establishes AI evaluation, fine-tuning, reinforcement learning, and feedback loops, and ensures compliance, auditability, security, and responsible AI practices for regulated environments. The position partners with product teams to accelerate adoption and delivery, manages platform capacity and service maturity, and builds and leads high-performing platform engineering teams. The ideal candidate is a hands-on AI platform leader combining 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 posted base compensation range is 191583–272584; the posting does not specify a currency. Additional compensation such as variable incentives, bonuses, or commissions may be available depending on the position and applicable laws. Capgemini offers a benefits package to regular, full-time employees. Available benefits in the U.S. and Canada depend on local policy and eligibility and may include paid time off, company-paid holidays, personal days, sick leave, medical, dental and vision coverage (or provincial healthcare coordination in Canada), retirement savings plans, life and disability insurance, and employee assistance programs.
Requirements
- 15+ years of software engineering, platform engineering, or infrastructure leadership experience.
- Proven success leading shared platforms that support 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 focused on adoption, developer experience, and business outcomes.
Nice To Haves
- 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.
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-versus-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.
Benefits
- Paid time off (12–25 vacation days depending on employee grade), company-paid holidays, personal days, and sick leave, subject to policy.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
- Retirement savings plans, such as 401(k) in the U.S. or RRSP in Canada.
- Life and disability insurance.
- Employee assistance programs.
- Other benefits as provided by local policy and eligibility.
- Potential variable incentives, bonuses, or commissions, depending on position and applicable laws.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
