Senior Agentic AI Architect

Quantum Technologies. LLC; Indianapolis (IN); On-site; USD 120,000 - 190,000; Full time

Job summary

Quantum Technologies LLC is looking for a hands-on Senior Agentic AI Architect to lead the development of production-grade AI agents and multi-agent orchestration. You will build RAG pipelines and MCP integrations, delivering scalable enterprise AI automation solutions with strong security and observability.

Ideal candidates have deep Python expertise, experience with FastAPI, LangGraph/Strands Agents, PostgreSQL, Docker, Kubernetes, and AWS services, and a track record of end-to-end deployment

Qualifications

• Hands-on Senior AI Architect with production-grade AI agents.
• Experience with multi-agent orchestration and RAG pipelines.
• Expertise in AWS services, Python, and container orchestration.
• Knowledge of AI security, memory, observability and deployment.

Responsibilities

• Build production-ready AI agents and manage multi-agent orchestration.
• Design and implement RAG pipelines and MCP integrations.
• Deliver enterprise AI automation solutions with end-to-end deployment.
• Ensure security, observability, and scalable operation in production.

Skills

AWS AgentCore

AWS Bedrock

Context Engineering

Harness Engineering

Tools

Python

FastAPI

PostgreSQL

Docker

Kubernetes

AWS 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.