Sr. AI Solution Architect

Machine Learning Technologies, LLC; Tallahassee (FL); On-site; USD 180,000 - 240,000; Full time

Job summary

Machine Learning Technologies, LLC seeks a Senior Agentic AI Architect to design, build, and deploy enterprise-grade AI assistants and automation solutions. You will own the full lifecycle from design to deployment, partnering with cross-functional teams to deliver robust, scalable AI capabilities.

Ideal candidates bring hands-on AWS AgentCore and Bedrock experience, strong Python development skills, and a track record in multi-agent orchestration and enterprise-grade systems.

Qualifications

• Experience designing enterprise-grade AI assistants.
• Hands-on with AWS services and agent frameworks.
• Strong Python and full-stack skills.

Responsibilities

• 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 and AWS Bedrock.
• Context & Harness Engineering: Implement context management strategies and build execution frameworks.
• Multi-Agent Orchestration & Automation: Develop and coordinate specialized agents and 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.
• 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.

Skills

AWS AgentCore

Context Engineering

Harness Engineering

Python Development

Multi-Agent Orchestration

Production-grade Agents

Tools

AWS Bedrock

EKS

PostgreSQL

pgvector

Next.js

FastAPI

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

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.

Key Responsibilities

• 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.

Key Qualifications & Skills

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.

Best regards,

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.