Full Stack AI Platform Engineer – AI Accelerator

Date Posted:

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. Clearance Type: None/Not Required

Security Clearance Status:

Not Required

At RTX the worlds largest aerospace and defense company 185000 great minds are united by purpose and inspired to make a difference solving the worlds 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 FactoryRTXs 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 employees personal responsibility.

As part of our commitment to maintaining a secure hiring process candidates may be asked to attendselect 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 132400 USD - 251600 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 candidates 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 and 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 companys 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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