2 days ago
Base Salary
$120k - $140k/yr
Responsibilities
- Design, build, and enhance AI agents for enterprise use cases.
- Develop agent workflows using LLMs and agentic AI frameworks.
- Integrate agents with APIs, applications, tools, and enterprise data sources.
- Build orchestration and automation for multistep AI workflows.
- Implement security controls, access controls, and guardrails for AI agents.
- Test and improve agent reliability, accuracy, and performance.
- Collaborate with business and technical teams to turn use cases into working AI agent solutions.
Requirements
- Strong Python development experience.
- Experience building production AI/LLM applications.
- Hands-on experience with agentic AI frameworks and patterns.
- Experience with Azure OpenAI, Microsoft Copilot Studio, or similar enterprise AI platforms.
- Experience with REST APIs and enterprise integrations.
- Understanding of AI security, responsible AI, and governance.
Benefits
- Comprehensive benefits package for regular, full-time employees, including paid time off, 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.
- New York-based onsite hybrid work arrangement.
Tech Stack
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.