Principal AI Architect — Agentic AI, AWS Bedrock & Broad-Spectrum AI (Remote)

Role Overview Hands-on AI Architect to design and deliver enterprise-grade AI systems spanning Agentic AI, AWS Bedrock, and the full AI/ML spectrum. You will architect multi-agent orchestration pipelines, drive FM and model strategy across cloud and open-source ecosystems, embed AI across enterprise data and application layers, and serve as the senior technical voice in C-suite engagements.

Key Responsibilities

Agent Core Design

Architect the foundational agent loop — perception, planning, tool selection, execution, self-reflection, and memory — using frameworks such as LangGraph, AutoGen, CrewAI, or custom Bedrock-native implementations. Design for goal decomposition, error recovery, and dynamic replanning in long-horizon autonomous tasks.

Agentic Architecture on Bedrock

Build production multi-agent systems using Bedrock Agents — defining supervisor/sub-agent hierarchies, action groups, session memory, and inline agents for complex enterprise workflows.

RAG & Knowledge Layer

Design Knowledge Base pipelines with vector stores (OpenSearch Serverless, Aurora pgvector, Pinecone) — covering chunking strategies, embedding models, hybrid search, and retrieval optimization.

Tool & API Integration

Engineer Lambda-backed action groups (Python/Node.js), API Gateway, and Step Functions to enable agents to invoke enterprise APIs, databases, and third-party systems.

Broad-Spectrum AI/ML

Architect and oversee the full AI lifecycle — classical ML, NLP pipelines, computer vision, fine-tuning, and custom model training on SageMaker.

Model & FM Strategy

Drive selection across Anthropic Claude, Amazon Titan, Meta Llama, Mistral, and open-source LLMs — evaluating latency, cost, context fit, and reasoning fidelity. Enforce Bedrock Guardrails and responsible AI controls at scale.

MLOps & Observability

Define CI/CD pipelines (CDK/CloudFormation) for agent and model deployment; monitor via CloudWatch, Bedrock inv...