24 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.
- Make independent technical decisions and own technical workstreams.
- Apply evaluation-driven development practices.
- Build reusable AI engineering accelerators.
- Collaborate across strategy, technology, data, and design to deliver client solutions.
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 AI and generative AI concepts, enterprise transformation applications, and responsible AI principles including ethics, privacy, security, and governance.
- Curiosity and continuous learning around emerging AI capabilities and their practical application.
Benefits
- Comprehensive benefits package for regular, full-time employees.
- Paid time off, including vacation, company holidays, personal days, and sick leave, based on employee grade and policy.
- 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.
- Employee assistance programs.
- Benefits vary by local policy and eligibility in the U.S. and Canada.
Categories
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.