AWS AI Architect

Requirements

• AWS GenAI & Agentic AI Architecture: Amazon Bedrock & AgentCore; Production-grade GenAI architecture; Agent vs. direct inference design decisions; Enterprise Agent Factory blueprints
• Multi-agent architecture and orchestration; Agent-as-Tool, Graph & Swarm patterns; Reusable agent frameworks and workflows
• Model Context Protocol (MCP); Agent-to-Agent (A2A); Enterprise tool registries; Tool connectivity, naming, and permissions
• Agent Identity & OAuth; AWS IAM & Cedar; Credential management and isolation; Enterprise AI security controls
• Retrieval-Augmented Generation (RAG); Amazon Bedrock Knowledge Bases; Retrieval lifecycle management; Semantic context and enterprise knowledge management
• PII / PCI protection; Prompt, memory, and log security; Data de-identification and synthetic data
• Online evaluation and monitoring; Model drift management; P95 / P99 latency optimization; Kill switches and fallback strategies
• Token budgets and model routing; AI cost optimization; NIST AI RMF; ISO/IEC 42001; Model Risk Management
• Architecture Decision Records (ADRs); Reference Architectures & Patterns; Architecture Reviews and Stage 1–3 Designs; Operating Models, RACI & Knowledge Transfer
• Preferred / good-to-have skills: Amazon SageMaker Model Registry & Monitoring; Classical ML and GenAI Coexistence; Snowflake AI; Claude Code, Kiro & Amazon Q Developer; AI-Assisted Engineering Governance; Banking / Financial Services Domain; AI Governance Boards & Model Risk Management; Cyber.AI & Archer RAG; IAPP AIGP Certification; ISO/IEC 42001 Training or Implement

Schedule

• Hybrid
• On C2C

Location

• New York City, Chicago, Miami, Dallas