Full Stack AI Platform Engineer - AI Accelerator

RTX; East Hartford (CT); Hybrid; USD 132,000 - 252,000; Full time

Job summary

RTX in East Hartford is seeking an experienced AI Solutions Engineer to mature early-stage AI prototypes into production-grade services. You will build enterprise-ready AI applications and integrate ML models across RTX’s platforms.

Responsibilities include deploying on AWS/Azure, implementing CI/CD, security, and observability, and collaborating with R&D to scale the AI Factory platform. Strong Python/C++ and ML framework experience required.

Qualifications

• Typically requires a STEM degree and a minimum of 10 years of relevant experience.
• Proficiency in Python, C++, and modern back-end frameworks.
• Experience with CI/CD pipelines and DevOps automation tools (GitHub Actions, Jenkins, etc.).
• Familiarity with LLMs, RAG workflows, and AI frameworks (PyTorch, TensorFlow).
• Familiarity with integrating AI/ML models into software applications.

Responsibilities

• Convert AI prototypes into production-grade applications, microservices, and pipelines deployable on the AI Factory.
• Build and deploy cloud-based services on AWS and Azure following RTX best practices.
• Integrate AI/ML models into enterprise applications.
• Implement CI/CD, automated testing, observability, and secure deployment workflows.
• Collaborate with R&D teams to refine prototype functionality for enterprise use.
• Ensure compliance with RTX cybersecurity, infrastructure, and regulatory requirements.
• Participate in architecture reviews, code reviews, and agile development activities.
• Contribute reusable components and patterns that strengthen the AI Factory platform.

Skills

Python

C++

CI/CD

DevOps

LLMs

REST APIs

Education

STEM degree

Tools

Docker

Kubernetes

PyTorch

TensorFlow

AWS

Azure

Job description

Date Posted: 2026-10-23

Country: United States of America

Location: US-CT-EAST HARTFORD-RTRC L ~ 411 Silver Ln ~ RTRC L

Position Role Type: Hybrid

U.S. Citizen, U.S. Person, or Immigration Status Requirements: This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of "U.S. Person" go here. https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62

Security Clearance Type: None/Not Required

Security Clearance Status: Not Required

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Join us and help shape the future of aerospace and defense.

Role Summary

The AI Accelerator works across RTX to mature early-stage AI prototypes and deploy them as secure, scalable applications on the AI Factory-RTX's common AI infrastructure. This role is responsible for building enterprise-ready AI solutions based on models and capabilities developed by research and development teams across RTX.

What You Will Do

• Convert AI prototypes into production-grade applications, microservices, and pipelines deployable on the AI Factory.
• Build and deploy cloud-based services on AWS and Azure following RTX best practices.
• Integrate AI/ML models (LLMs, analytics, perception, RAG pipelines) into enterprise applications.
• Implement CI/CD, automated testing, observability, and secure deployment workflows.
• Collaborate with R&D teams to refine prototype functionality for enterprise use.
• Ensure compliance with RTX cybersecurity, infrastructure, and regulatory requirements.
• Participate in architecture reviews, code reviews, and agile development activities.
• Contribute reusable components and patterns that strengthen the AI Factory platform.

Qualifications You Must Have

• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience unless prohibited by local laws/regulations.
• Proficiency in Python, C++, and modern back-end frameworks.
• Experience with CI/CD pipelines and DevOps automation tools (GitHub Actions, Jenkins, etc.).
• Familiarity with LLMs, RAG workflows, and AI frameworks (PyTorch, TensorFlow).
• Familiarity with integrating AI/ML models into software applications.

Qualifications We Prefer

• Knowledge of MLOps practices (model registry, monitoring, pipelines).Experience deploying applications on AWS and/or Azure.
• Knowledge of REST APIs, microservices, SQL databases, and distributed systems.
• Experience with Docker and Kubernetes.
• Experience delivering solutions in regulated or security-conscious environments.
• Strong problem-solving skills, initiative, and ability to define technical direction.
• Strong analytical, problem-solving, written/verbal communication, and interpersonal skills with track record of teamwork, adaptability, innovation, and initiative.
• Clear and effective communication with all levels of management, business development, researchers, and customers.
• Ability to approach open-ended tough problems as an opportunity to innovate.
• Ability to focus on results in a fast-paced, dynamic team environment.
• Ability to work independently with limited direction and in multidisciplinary environment.

Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as:

Hybrid : Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.

If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role.

Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee's personal responsibility.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers se