Hi,
We have urgent requirement of Senior Consultant / Manager – GenAI Solutioning in Malvern, PA (Onsite/Hybrid)
Here are the job details
Role Name: Senior Consultant / Manager – GenAI Solutioning
Location: Malvern, PA (Onsite/Hybrid)
Due to additional onboarding requirements, a meet and greet is required for all new hires.
Candidates must be willing to go to the closest Capgemini, Client, or onsite location as indicated by project team to meet with a Capgemini team member prior starting their assignment. If the candidate is not local, travel covered by Capgemini. If travel is involved and after selection the candidate declines the offer, costs will be paid by vendor and not Capgemini.
JOB DESCRIPTION:
We are seeking a hands-on GenAI expert to lead the development of intelligent, automated data solutions with a strong focus on data lineage, governance, and compliance. The ideal candidate will leverage AWS and modern LLM frameworks to build scalable, production-ready AI systems that transform unstructured data into actionable insights.
Key Responsibilities
• Design and implement GenAI-powered workflows for unstructured data analysis and automation
• Build agentic AI systems using LangChain and vector databases
• Develop and deploy Retrieval-Augmented Generation (RAG) pipelines with prompt engineering and re-ranking
• Integrate solutions with AWS services (Bedrock, SageMaker, Lambda, etc.)
• Ensure data lineage, governance, and compliance are embedded in AI workflows
• Collaborate with cross-functional teams to deliver scalable, production-ready systems
Must-Have Skills
• Programming: Strong Python development experience
• GenAI Techniques: Prompt engineering, RAG, re-ranking, agentic AI
• Frameworks: LangChain (or LangGraph), vector databases (e.g., Pinecone)
• AWS: Bedrock, SageMaker pipelines, Lambda, API Gateway, S3
• Data Expertise: Experience with unstructured data, data lineage, and data governance processes
• Automation: Proven ability to automate data workflows using GenAI
Nice-to-Have
• Familiarity with MLOps practices (model monitoring, versioning, CI/CD)
• UI prototyping with Streamlit or similar tools
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