Responsibilities- Build and maintain scalable batch and streaming data pipelines for ingestion transformation and curation
- Design and optimize data models feature stores and storage patterns for AIML workloads\
- Implement DataOps and MLOps automation CICD data validation model deployment monitoring drift detection
- Design build and optimize agentic AI systems and LLMpowered applications RAG pipelines agent orchestration
- Develop and integrate AI services into secure productiongrade environments
- Design and implement AI systems architecture best practices and standards across the organization
- Build scalable resilient cloud and onpremise systems for hosting AILLM applications
- Provide infrastructure design optimization and monitoring support
- Translate business requirements into technical solutions through crossfunctional collaboration
- Ensure code quality system reliability scalability and observability
Expectations Skillset RequiredAdvanced Python proficiency with strong software engineering fundamentals version control testing code reviews
Proficiency in SQL and distributed computing Spark distributed systems
Deep experience with data modeling and feature engineering across the ML lifecycle
Handson experience building LLM applications RAG pipelines and agentic AI frameworks LangChainLangGraph preferred
Expertise designing distributed systems at enterprise scale
Strong CICD and DevOps knowledge GitHubGitHub Actions Docker Kubernetes
Experience with event streaming platforms Kafka
Demonstrated ability to design and deploy hybrid cloud and onpremise systems AWS Azure
Excellent collaboration and communication skills across engineering research and product teams
Selfdirected problemsolving mindset and ability to navigate enterprise complexity
Masters degree in Computer Science Software Engineering or related field with 5 years in datasoftwareMLAI engineering preferred
UI development expertise with React and JavaScript a plus'
The base compensation range for this role in the posted location is: 70,000 to 91,000
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
