Sr. AI Solution Architect

MACHINE LEARNING TECHNOLOGIES LLC; Tallahassee (FL); On-site; USD 92,000 - 125,000; Full time

Job summary

Machine Learning Technologies LLC is seeking a hands-on Sr. AI Solution Architect in Tallahassee, FL. You will own the full lifecycle from solution design to deployment of enterprise-grade AI assistants and automation, with focus on agentic systems and scalable architectures.

The role requires expert skills in AWS AgentCore, Bedrock, context management, and multi-agent orchestration, plus Python development and full-stack capabilities. 11-month engagement with potential extension.

Qualifications

• Deep experience with AWS AgentCore, context engineering, and harness engineering.
• Proficient Python development for backend services and AI workflows.
• Experience in multi-agent orchestration and production-grade agentic systems.

Responsibilities

• Agentic AI development: design and build intelligent AI agents capable of reasoning and tool usage.
• Hands-on AWS AgentCore and AWS Bedrock work (Runtime, Memory, Gateway, Identity, Policy, Observability).
• Implement context management (retrieval, summarization, prompt versioning) and build execution frameworks (tool orchestration, retries, validation).
• Develop and coordinate specialized agents and event-driven automation.
• Build ingestion and retrieval pipelines (PostgreSQL, pgvector, RAG).
• Create MCP servers/clients and AWS solutions (IAM, Secrets Manager, ECR, Aurora, SQS, EventBridge, CloudWatch, EKS).
• Develop backend with Python/FastAPI and frontend with Next.js/TypeScript.

Skills

AWS AgentCore

Context Engineering

Harness Engineering

Python

Multi-agent orchestration

Agentic systems

Tools

Harness

AWS Bedrock

Amazon Connect

EKS

Job description

Job ID: J54078

Job Title: Sr. AI Solution Architect

Location: Tallahassee, FL

Duration: 11 Months + Extension

Bill Rate: $79/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

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

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.

Equal Opportunity Employer

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.

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