Sr. AI Solution Architect

Robotics Technologies LLC
Tallahassee, FL, United States
2 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$164,320.0
Working hours
Regular working hours
Job source

Tech stack

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
+14 more
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

Job 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.

Requirements

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.

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