1 day ago
Remote, MexicoSenior
Responsibilities
- Develop and deploy agentic AI solutions that deliver scalable, high-quality outcomes aligned with business goals.
- Build and scale enterprise AI platform infrastructure while defining technical direction and best practices.
- Integrate AI platforms with internal systems for diverse business use cases.
- Create AI prototypes and demonstrations to drive adoption and showcase capabilities.
- Translate business problems into AI use cases and technical solutions.
- Provide technical leadership, mentor teams, and support cross-functional AI initiatives.
- Collaborate with engineering, data science, and platform teams in iterative delivery cycles.
- Support solution documentation and technical handover.
Requirements
- Practical experience with Large Language Models and Retrieval-Augmented Generation techniques.
- Working knowledge of agentic AI systems and core machine learning concepts and implementations.
- Experience with Azure cloud platforms and AI services.
- Hands-on DevOps skills.
- Experience developing microservices with Flask, Django, or Spring for Java.
- Practical experience with GitHub Copilot and other AI tools for developers.
- Ability to collaborate across engineering, data science, and platform teams and deliver practical, scalable outcomes.
Benefits
- Remote role with flexibility in how, when, and where work is performed in coordination with managers.
- Work-life balance, empowerment, and flexible working arrangements.
- Opportunities to deepen knowledge and learn new skills while working.
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.