Lead AI Engineer - Agentic AI
Role summary
We are seeking an experienced AI Lead with over 12 years of IT experience, specializing in Generative AI and Agentic AI. The role involves designing and implementing LLM-based systems, multi-agent architectures, and enterprise AI platforms. Key responsibilities include building RAG pipelines, conversational AI, and AI tool ecosystems. The position requires strong Python skills, expertise in Agentic AI frameworks like LangChain and LangGraph, and experience with AWS Bedrock, NovaSonic, and deploying AI solutions on AWS Cloud. This hybrid role offers the opportunity to lead and mentor AI engineering teams.
Position: AI Lead – Agentic AI
Location: Atlanta, GA -Hybrid
Experience: 12+ Years
Job Description
We are looking for experienced AI Leads with 12+ years of overall IT experience and strong expertise in Generative AI and Agentic AI solutions. The ideal candidates should have hands-on experience designing and implementing LLM-based systems, multi-agent architectures, and enterprise AI platforms.
Required Skills
- Strong Python programming skills
- Hands-on experience with Agentic AI frameworks
- Expertise in LangChain and LangGraph
- Experience building RAG (Retrieval Augmented Generation) pipelines
- Experience developing AI Chatbots / AI Assistants
- Experience building MCP Servers / tool-based AI architectures
- Experience working with AWS Bedrock and NovaSonic
- Strong experience working with LLMs and AI orchestration frameworks
- Experience deploying AI solutions on AWS Cloud
Responsibilities
- Design and implement Agentic AI and multi-agent architectures
- Build RAG pipelines and conversational AI platforms
- Architect AI tool ecosystems using MCP servers
- Lead and mentor AI engineering teams
- Collaborate with cross-functional teams to deliver enterprise AI solutions
Good to Have
- Experience with vector databases (FAISS, Pinecone, OpenSearch)
- Experience with voice AI platforms
- Experience with cloud-native AI architectures
