Description

You will design, build, and optimize agentic AI capabilities using large language models and advanced reasoning frameworks. You will develop scalable, serverless agent architectures on AWS and integrate multi-agent systems with enterprise platforms to deliver production-ready solutions.

Responsibilities

• Design and build agentic AI architectures using large language models and advanced reasoning frameworks.
• Develop serverless agentic product features on AWS using Bedrock AgentCore Memory, Gateway, Identity, Interpreter, Observability, and Runtime.
• Implement and operate A2A/MCP servers on AWS and integrate with Bedrock Agents and Converse APIs.
• Orchestrate multi-agent workflows using Strands Agents and deploy solutions on EKS or AWS Lambda.
• Instrument and monitor AI agents using CloudWatch metrics, spans, and traces to support observability and audits.

Required Skills

• 10+ years of experience in AI/ML, Generative AI, or Agentic Systems.
• Strong proficiency in Python and modern AI/ML frameworks.
• Hands-on experience with AWS Bedrock AgentCore components including Memory, Gateway, and Runtime.
• Experience building agent-based systems using frameworks such as Semantic Kernel, LangGraph, LangChain Agents, or CrewAI.
• Strong understanding of Retrieval-Augmented Generation (RAG) and agentic workflow architectures.
• Experience implementing Natural Language to SQL (NL2SQL) automation and Text-to-SQL pipelines using LLMs.
• Experience working with vector databases and embedding models for retrieval and semantic search tasks.
• Experience deploying AI services using AWS cloud infrastructure including EKS and Lambda.

Preferred Skills

• Experience with enterprise AI platforms such as Copilot Studio and Azure AI Foundry.
• Experience integrating AI solutions with Microsoft 365 and M365 Copilot ecosystems.

Key Skills

Education

Any Graduate