Senior Agentic AI Architect

Machine Learning Technologies, LLC; Indianapolis (IN); On-site; USD 180,000 - 250,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a hands-on Senior Agentic AI Architect in the United States to lead production-grade AI agent development. You will design multi-agent orchestration, RAG pipelines, and MCP integrations while ensuring secure, observable, end-to-end deployment of enterprise AI automation solutions.

The ideal candidate will demonstrate deep expertise in AWS services, Python, FastAPI, LangGraph/Strands Agents, PostgreSQL and vector databases, plus Docker, Kubernetes,

Qualifications

• Hands-on role building production-ready AI agents.
• Experience with multi-agent orchestration and RAG pipelines.
• MCP integrations and enterprise AI automation solutions.
• Proficiency in Python, FastAPI, and related tooling.
• Experience with security, memory, observability and end-to-end deployment of AI agents.

Skills

AWS AgentCore

AWS Bedrock

Context Engineering

Harness Engineering

Tools

Python

FastAPI

LangGraph/Strands Agents

PostgreSQL

pgvector

AWS services

Docker

Kubernetes

EKS

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

We are looking for a hands-on Senior Agentic AI Architect with strong expertise in AWS AgentCore, AWS Bedrock, Context Engineering, and Harness Engineering. The candidate should have experience building production-ready AI agents, multi-agent orchestration, RAG pipelines, MCP integrations, and enterprise AI automation solutions. Strong hands-on skills in Python, FastAPI, LangGraph/Strands Agents, PostgreSQL, pgvector, AWS services, Docker, Kubernetes, and EKS are required, along with expertise in AI security, agent memory, observability, and end-to-end deployment.

Key Skills:

• AWS AgentCore (Mandatory)
• AWS Bedrock (Must Have)
• Context Engineering & Harness Engineering

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.