Applied AI Engineer — Hybrid, Production-Ready ML

RTX; Andover (MA); Hybrid; USD 108,000 - 205,000; Full time

Job summary

RTX Enterprise Services seeks an experienced Applied AI Engineer to design, build, evaluate, and deploy production‑grade AI/ML solutions addressing complex business problems across RTX.

The role combines strong software engineering with hands‑on AI/ML, including Generative AI, retrieval, and agentic AI to production‑ready systems. Hybrid role with multiple U.S. locations and strong security requirements.

Qualifications

• 8+ years of relevant professional experience or 5+ with advanced degree.
• Hands‑on experience deploying AI/ML into production environments.
• Proficiency in Python and production‑quality software development.

Responsibilities

• Design, develop, and deploy production‑grade AI/ML solutions.
• Build AI agents and workflows that interact with enterprise data and tools.
• Develop retrieval and context‑engineering solutions for embeddings and knowledge sources.
• Integrate AI solutions with enterprise applications and APIs.
• Evaluate models for quality, reliability, latency, and security.

Skills

Python programming

Generative AI

Large language models

APIs integration

CI/CD

Production software

AI evaluation

Education

Bachelor's or higher in CS/AI/Engineering

Tools

Docker

Kubernetes

Job description

RTX Enterprise Services seeks an experienced Applied AI Engineer to design, build, evaluate, and deploy production‑grade AI/ML solutions addressing complex business problems across RTX.

The role combines strong software engineering with hands‑on AI/ML, including Generative AI, retrieval, and agentic AI to production‑ready systems. Hybrid role with multiple U.S. locations and strong security requirements.