4 days ago
Pune, IndiaStaff+
Responsibilities
- Design end-to-end AI systems covering data pipelines, model lifecycles, APIs, and integration layers.
- Architect scalable, cloud-native AI solutions using microservices, containers, and distributed computing.
- Integrate AI solutions with enterprise systems including ERP, CRM, and data platforms.
- Establish MLOps and deployment strategies covering CI/CD, model versioning, monitoring, and automated deployment pipelines.
- Align data architecture with AI workloads, including data ingestion, storage, and processing.
- Define and standardize tools, frameworks, and platforms for consistency and scalability.
- Build, lead, and deliver agentic AI solutions.
Requirements
- 9+ years of experience in the IT industry.
- 5+ years of hands-on experience with AI/GenAI projects.
- At least 2 years of experience designing end-to-end GenAI or agentic AI solutions.
- Proven ability to build, lead, and deliver agentic AI solutions.
Benefits
- Hybrid work arrangements and support for work-life balance.
- Career growth and professional development opportunities.
- Certifications and training in AI/ML/GenAI/agentic AI technical solutions and frameworks.
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.