1 day ago
Base Salary
$150k - $165k/yr
Responsibilities
- Design end-to-end AI components within established architectures.
- Build governed agentic workflows, inference pipelines, and APIs.
- Make independent technical decisions and own technical workstreams.
- Apply evaluation-driven development practices.
- Build reusable AI accelerators.
- Collaborate with clients and teams across strategy, technology, data, and design.
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.
- Strong understanding of core AI, generative AI, responsible AI, ethics, privacy, security, and governance.
- Ability to identify AI-enabled opportunities and operate independently with clients.
- Ability to collaborate across strategy, technology, data, and design with a continuous-learning mindset.
Benefits
- Comprehensive benefits package for regular, full-time employees, with eligibility determined by local policy in the U.S. and Canada.
- 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 such as 401(k) in the U.S. and RRSP in Canada.
- Life and disability insurance and employee assistance programs.
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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.