GenAI Solution Lead / Architect

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent

Skills

GenAI
MLOPS
RAG
Generative AI
MI
machine learning
AI
Artificial intelligence
LangChain
LangGraph
AWS
Bedrock
SageMaker
Lambda
API Gateway
API
S3
data lineage
data governance
Streamlit

Job Details

Role : GenAI Solution Lead / Architect

Duration : Long Term Contact

Location : Malvern PA Hybrid

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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