Description

Design and implement secure, scalable AI solutions on AWS, focusing on multi-agent systems and RAG architectures.

This role is remote.

Responsibilities

• Architect and build multi-agent workflows using LangGraph, CrewAI, or AWS Bedrock Agents.
• Design RAG pipelines including chunking strategies, vector store selection (OpenSearch, Pinecone), and retrieval tuning.
• Implement AI observability, Bedrock guardrails, and model invocation patterns.
• Develop AI microservices with FastAPI/Flask and containerize with Docker/Kubernetes.
• Manage infrastructure as code using AWS CDK or Terraform.

Required Skills

• 7+ years in solution or application architecture.
• Production experience with AWS Bedrock, including guardrails and AI observability.
• Hands-on expertise with LangGraph, CrewAI, or AgentCore.
• Proficiency in AWS orchestration services: Step Functions, EventBridge, SQS.
• Experience with vector stores (OpenSearch, Pinecone, pgvector) and data ingestion.
• Strong knowledge of Docker, Kubernetes, and Amazon ECS/EKS.
• Familiarity with CI/CD pipelines (GitHub Actions, CodePipeline) and IaC (CDK, Terraform).

Preferred Skills

• Exposure to Azure OpenAI, Google Vertex AI, or other LLM SDKs.
• Experience with graph databases (Neptune, Neo4j) for knowledge graphs.

Key Skills

Education

Any Graduate