2 days ago
Base Salary
$150k - $165k/yr
Responsibilities
- Design end-to-end AI components within established architectures.
- Build governed agentic workflows, inference pipelines, and APIs.
- Own technical workstreams and make independent technical decisions.
- Apply evaluation-driven development practices.
- Build reusable AI engineering accelerators.
- Collaborate across strategy, technology, data, and design to support client AI transformation initiatives.
Requirements
- 5–6 years of experience in software or AI/ML engineering.
- Experience with LLMs, RAG, function calling, and agent systems.
- Experience with orchestration frameworks and vector databases.
- Knowledge of cloud deployment, monitoring, and security.
- Ability to operate independently with clients.
- Strong understanding of core AI, generative AI, responsible AI, ethics, privacy, security, and governance.
- Ability to identify and support AI-enabled opportunities that improve business outcomes and delivery effectiveness.
Benefits
- Paid time off, including 12–25 vacation days depending on employee grade, company holidays, personal days, and sick leave.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
- Retirement savings plans, including 401(k) in the U.S. and RRSP in Canada.
- Life and disability insurance.
- Employee assistance programs and other benefits based on local policy and eligibility.
- Regular, full-time employee benefits are comprehensive and non-negotiable.
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About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.