AI Integration Architect – AI Accelerator

RTX; East Hartford (CT); Hybrid; USD 157,000 - 299,000; Full time

Benefits offered by this job

medical insurance

dental insurance

vision insurance

life insurance

short-term disability

long-term disability

401(k) match

flexible spending accounts

flexible work schedules

employee assistance program

Employee Scholar Program

parantal leave

paid time off

holidays

Job summary

RTX, the world’s leading aerospace and defense company, seeks an AI Accelerator engineer to mature early-stage AI prototypes into secure, scalable enterprise solutions. You will collaborate across RTX teams to deploy models, pipelines, and microservices in a regulated production environment.

You will design scalable interfaces, own architecture decisions, and partner with infrastructure to evolve the AI Factory platform.

Qualifications

• Typically requires STEM degree and 12+ years of experience unless prohibited by local laws.
• Minimum 5 years in Python, C++, and modern back-end frameworks.
• Minimum 3 years with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins).
• Minimum 1 year with LLMs, RAG workflows, and AI frameworks (PyTorch, TensorFlow).
• Minimum 1 year with integrating AI/ML models into software applications.

Responsibilities

• Convert AI prototypes into production-grade applications, microservices, and pipelines.
• Design interfaces and patterns enabling AI capabilities to plug into the AI Factory.
• Own service architecture decisions to onboard, scale, and retire AI capabilities.
• Partner with infrastructure to evolve platform based on real application demands.
• Build and deploy cloud-based services on AWS and Azure following RTX best practices.
• Integrate AI/ML models into enterprise apps.
• Implement CI/CD, automated testing, observability, and secure deployment workflows.
• Ensure compliance with RTX cybersecurity and regulatory requirements.
• Contribute reusable components to strengthen the AI Factory platform.

Skills

Python

C++

CI/CD

DevOps

LLMs

PyTorch

TensorFlow

REST APIs

Docker

Kubernetes

Distributed systems

SQL databases

Education

STEM degree

Tools

GitHub Actions

Jenkins

MLOps

AWS

Azure

Job description

Date Posted:

2026-08-24

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.

What You Will Do

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.

• Convert AI prototypes into production‑grade applications, microservices, and pipelines deployable on the AI Factory, a constrained, regulated production environment.
• Design interfaces and integration patterns that allow independently developed AI capabilities, from varied domains and R&D teams, to plug into the AI Factory, avoiding significant rework per application.
• Own service architecture decisions that enable new AI capabilities to be onboarded, scaled, and retired with minimal rework.
• Partner with the AI Factory infrastructure team to influence platform and infrastructure evolution based on real application demands.
• 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.
• Ensure compliance with RTX cybersecurity, infrastructure, and regulatory requirements.
• 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 12 years of prior relevant experience unless prohibited by local laws/regulations.
• Minimum 5 year in Python, C++, and modern back‑end frameworks.
• Minimum 3 year experience with CI/CD pipelines and DevOps automation tools (GitHub Actions, Jenkins, etc.).
• Minimum 1 year with LLMs, RAG workflows, and AI frameworks (PyTorch, TensorFlow).
• Minimum 1 year with integrating AI/ML models into software applications.

Qualifications We Prefer

• Demonstrated experience shipping AI or software systems into regulated or compliance‑constrained production environments.
• Experience evaluating and hardening in‑flight technical work against production and compliance criteria.
• 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.

The salary range for this role is 157,200 USD - 298,800 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.

Hired applicants may be eligible for benefits, including but not limited to,

• medical
• dental
• vision
• life insurance
• short‑term disability
• long‑term disability
• 401(k) match
• flexible spending accounts
• flexible work schedules
• employee assistance program
• Employee Scholar Program
• parental leave
• paid time off
• holidays

Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective‑bargaining agreement.

• Hired applicants may be eligible for annual short‑term and/or long‑term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective‑bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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