AI/ML Engineer – Generative AI - Lowe's
AWS SageMaker
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TranscriptionDeveloped and deployed LLM-powered AI agents automating end-to-end Accounts Payable workflows using Python and OOP principles with LangChain and LangGraph; containerized with Docker and deployed as serverless AWS Lambda functions. Designed Agentic RAG pipelines integrated with vector databases (ChromaDB, Pinecone) using advanced retrieval techniques including rerankers and metadata filtering; exposed pipelines via REST API interfaces. Architected an organization-wide MCP Server Registry enabling multi-tenant GenAI service delivery through GitLab CI/CD pipelines into AWS EKS (Kubernetes) with authentication, authorization, and RBAC governance. Containerized GenAI microservices using Docker and deployed on Azure App Services and AWS Bedrock AgentCore; integrated LangSmith for monitoring/observability (tracing, debugging, prompt optimization, model versioning) and supported responsible AI governance. Evaluated and benchmarked OCR AI models (Landing.ai vs AWS Textract) for document extraction pipelines. Collaborated with data engineering, software development, and AI governance teams to build chatbots/copilots/content generation tools using OpenAI GPT API and Azure OpenAI. Led sprint planning, technical design reviews, and code reviews; mentored team and promoted MLOps best practices (CI/CD, model versioning, responsible AI governance).