9 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.
- Build reusable AI accelerators.
- Collaborate with strategy, technology, data, and design teams to deliver AI-driven 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 core AI, generative AI, responsible AI, ethics, privacy, security, and governance.
- Curiosity, adaptability, continuous learning, and experience applying AI capabilities in enterprise transformation environments.
Benefits
- Base compensation is listed at $150,000–$165,000 per year.
- 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. or RRSP in Canada.
- Life and disability insurance.
- Employee assistance programs and other benefits based on local policy and eligibility.
- Comprehensive benefits are available to regular, full-time employees, subject to local policy and eligibility.
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.