Jobs → Customer Support → Agentic AI Architect

About the Role We are seeking an Agentic AI Architect to join our team in Tampa, FL for a 6+ month contract. This role involves designing and building intelligent AI agents capable of complex reasoning and workflow management. Key Responsibilities • Design and build intelligent AI agents capable of reasoning, planning, tool execution, and managing complex workflows with minimal human intervention • Build and deploy agents using AWS AgentCore, including Runtime, Memory, Gateway, Identity, Policy, and Observability capabilities • Design effective context management strategies covering memory retrieval, conversation summarization, knowledge injection, prompt versioning, and context window optimization • Build reliable agent execution frameworks with tool-call orchestration, retry handling, structured output validation, capability routing, and automated testing • Develop and coordinate specialized AI agents using frameworks such as LangGraph or Strands Agents • Build event-driven agents that can monitor activities, identify actionable information, generate notifications, draft communications, and initiate authorized workflows • Develop knowledge ingestion and retrieval pipelines using PostgreSQL, pgvector, and RAG techniques • Build MCP servers and clients to connect agents with enterprise applications and internal knowledge systems • Design and implement solutions using AWS IAM, Secrets Manager, ECR, Aurora PostgreSQL, SQS, EventBridge, and CloudWatch • Deploy and manage FastAPI and Next.js applications on Amazon EKS using Docker, Kubernetes, Helm, autoscaling, ingress, and AgentCore connectivity • Develop backend services using Python/FastAPI and frontend applications using Next.js and TypeScript • Implement enterprise SSO, Cedar/ABAC policies, fine-grained authorization, secure data handling, and protection against unauthorized agent actions • Implement approval mechanisms and user controls for AI-generated communications and sensitive automated actions Requirements • Hands-on experience with AWS AgentCore and AWS Bedrock • Strong background in context engineering and harness engineering • Experience with multi-agent orchestration frameworks • Proficiency in Python, FastAPI, Next.js, and TypeScript • Knowledge of PostgreSQL, pgvector, and RAG techniques • Experience with AWS services including IAM, Secrets Manager, ECR, Aurora PostgreSQL, SQS, EventBridge, and CloudWatch • Familiarity with containerization technologies like Docker, Kubernetes, and Helm • Understanding of security principles and access management • Experience with enterprise integration patterns and protocols