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# Sr. AI Solution Architect

- **Company:** Robotics Technologies LLC
- **Location:** Tallahassee, FL, United States
- **Experience:** Expert
- **Salary:** $164,320.0
- **Contract:** Temporary contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Cloud Engineering, Identity and Access Management, Python (Programming Language), PostgreSQL, Next.js, Systems Integration, TypeScript, Management of Software Versions, Amazon Connect, Retrieval-Augmented Generation, Multi-Agent Systems, Prompt Engineering, AgentCore, Backend, Agentic-AI, Fastapi, Servicebus, Build Management, Pgvector, Front End Software Development, Cloudwatch, Amazon Simple Queue Service (SQS), Natural Language Generation
- **Published:** November 7, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=be0967ad4e8e6626

## About the Role

Essential Skills: Deep experience in AWS AgentCore, Context Engineering, Harness Engineering, Python development, multi-agent orchestration, and production-grade agentic systems.

 * Additional Skills: RAG/Knowledge ingestion, security/ABAC access management, EKS containerization, human-in-the-loop mechanisms.
 * Keywords/Tech Stack: Python, Harness, AWS Bedrock, AWS AgentCore, Amazon Connect, AI & Automation, EKS, FastAPI, Next.js.

## Description

We are looking for a hands-on Senior Agentic AI Architect with deep expertise in AWS AgentCore, Context Engineering, and Harness Engineering to design, build, and deploy enterprise-grade AI assistants and intelligent automation solutions. The candidate will own the complete development lifecycle, from solution design and implementation to deployment and optimization., Agentic AI Development: Design and build intelligent AI agents capable of reasoning, planning, tool execution, and managing complex workflows.

 * AWS & AgentCore (Mandatory): Hands-on experience with AWS AgentCore (Runtime, Memory, Gateway, Identity, Policy, Observability) and AWS Bedrock.
 * Context & Harness Engineering: Implement context management strategies (retrieval, summarization, prompt versioning) and build execution frameworks (tool-call orchestration, retry handling, structured output validation).
 * Multi-Agent Orchestration & Automation: Develop and coordinate specialized agents (using frameworks like LangGraph or Strands Agents) and build event-driven automation.
 * Enterprise Knowledge & RAG: Develop ingestion and retrieval pipelines using PostgreSQL, pgvector, and RAG techniques.
 * Integrations & Cloud Engineering: Build MCP servers/clients and implement AWS solutions using IAM, Secrets Manager, ECR, Aurora PostgreSQL, SQS, EventBridge, CloudWatch, and Amazon EKS.
 * Full-Stack Development: Build backend services with Python/FastAPI and frontends with Next.js and TypeScript.
 * Security, Memory, & Observability: Enforce SSO, Cedar/ABAC policies, human-in-the-loop approvals, persistent state management, and robust evaluation/tracing.