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, EventBridge ), 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.

Required Qualifications

• Experience: 5+ years of professional software/solutions engineering experience, including 3+ years of production-grade AWS architecture and development.
• Agentic AI Expertise: Demonstrated, hands-on experience building complex, multi-agent workflows or tool-using autonomous systems (beyond basic prompt engineering or short-lived POCs).
• Framework Proficiency: Practical experience with AWS Agent Core , or a proven ability to scale quickly into it using related orchestration frameworks (e.g., LangGraph, AutoGen, Bedrock Agents ).
• Advanced API Management: Deep expertise with AWS API Gateway, including REST/HTTP API configuration, custom authorizers, throttling policies, and request/response transformations.
• AWS Systems Mastery: Strong fluency with the core AWS ecosystem, specifically Lambda, Step Functions, DynamoDB, S3, EventBridge, IAM, and CloudWatch .
• Modern Engineering Practices: Strong software engineering fundamentals, including API contract design, automated testing, CI/CD pipelines, and Infrastructure as Code (IaC) using Terraform, AWS CDK, or CloudFormation.
• Languages: Ability to write clean, maintainable, production-quality code in Python and/or TypeScript (Node.js) .