Agentic AI Solution Architect Tampa - FL - Florida

Role: Agentic AI Solution Architect

Location: Tampa, FL - Onsite

- Context Engineering Designing and managing what goes into each LLM call: memory retrieval, thread compression, knowledge injection, system prompt versioning, and per-turn context budgets to maximize signal and minimize noise.

- Harness Engineering Building the agent execution harness: tool-call loops, retrybackoff, structured output validation, capability routing, and the test scaffolding that makes agent behavior deterministic and observable.

- AWS Cloud Platform IAM, Secrets Manager, ECR, RDS (Aurora PostgreSQL), SQSEventBridge for asynchronous knowledge pipelines, and CloudWatch for operational visibility.

- AWS AgentCore

- Amazon EKS Containerized deployment of FastAPI backend and Next.js frontend Helm chart authoring, pod autoscaling, ingress configuration, and managing AgentCore sidecaradapter connectivity within a cluster.

- MCP (Model Context Protocol)

- Knowledge Governance Patterns

- RAG & Knowledge Pipelines

- Human-in-the-Loop Design

- PostgreSQL + pgvector

- Next.js TypeScript

- Cedar ABAC

- Enterprise SSO

- Observability