Full Stack AI Platform Engineer – AI Accelerator

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OtherAi Platform Engineer

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Quick Summary

Requirements Summary

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.

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OtherAi Platform Engineer

2026-07-27

United States of America

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

Hybrid

Requirements

~2 min read

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

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.

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:

None/Not Required

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.

Responsibilities

~1 min read

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