Technical Architect - ML - GenAI

Overview

Gen AI Architect/Lead to design and deliver enterprise-grade generative AI solutions on AWS, including LLM, RAG, and agentic AI workflows.

What you'll do

• Design and implement GenAI solutions using AWS Bedrock and Agentcore.
• Define architectures for LLM applications, including RAG pipelines and agentic workflows.
• Develop and orchestrate agentic AI workflows for multi-step reasoning, tool usage, and automation.
• Build and manage RAG pipelines with embeddings, retrieval mechanisms, and vector databases.
• Integrate LLM capabilities into enterprise applications via APIs and backend services.
• Evaluate, monitor, and optimize models for latency, cost, and response quality.
• Provide technical leadership while troubleshooting production GenAI systems.

What you'll need

• 8+ years of hands-on technical experience implementing cloud ML solutions on AWS.
• Hands-on AWS experience, including AWS SageMaker and Bedrock across different data sources.
• Experience building agentic AI architectures using frameworks such as LangChain and Strand Agents.
• Hands-on experience with Amazon Agentcore for building, deploying, and scaling agentic AI applications.
• Experience architecting scalable AI solutions using services like Lambda, Bedrock, Step Functions, S3, API Gateway, and SageMaker.
• Proficiency with LLM APIs and multi-model orchestration strategies (e.g., Claude, Nova, third-party providers).
• Strong expertise in vector databases for embedding generation, similarity search, and RAG integration.

Details

• Work location: Remote (US).