AI Solutions Architect

Agentic Workflow Development: Architect and build multi-step agentic workflows using AWS Agent Core (or equivalents), integrating advanced tool use, memory preservation, retrieval, and multi-step reasoning capabilities. API & Connectivity Infrastructure: Design and implement secure, high-throughput API layers using AWS API Gateway and the Model Context Protocol (MCP) to safely expose agent capabilities to internal systems and external consumers. Core Cloud Engineering: Build and manage the underlying AWS infrastructure supporting your agents, optimizing compute (Lambda, ECS, EKS), event-driven orchestration (Step Functions, Event Bridge), storage (S3, DynamoDB, RDS/Aurora, Snowflake), and messaging (SQS, SNS, Kafka).LLM Integration & Prompt Engineering: Integrate foundation models via Amazon Bedrock (and other endpoints), mastering structured function calling, prompt/tool boundaries, and context window optimization. Guardrails & Observability: Implement enterprise-grade controls for reliability, safety, and cost control—including distributed tracing (AWS X-Ray), evaluation frameworks, toxic content filtering, and Human-in-the-Loop (HITL) validation checkpoints. Zero-Trust Security: Design rigid authentication and authorization patterns (IAM, OAuth, Lambda Authorizers) governing how autonomous agents interface with internal microservices and third-party APIs. Organizational Impact: Establish reusable reference architectures, design patterns, and deployment best practices to accelerate agentic AI development across the entire enterprise.