Full Stack AI Platform Engineer – AI Accelerator

Job d:
Posted Today

Start Date:

Location:

US-CT-EAST HARTFORD-RTRC L ~ 411 Silver Ln ~ RTRC L; US-MA-CAMBRIDGE-BBN
01 ~ 10 & 50 Moulton St ~ MOULTON B2

Country:
United States of America Time Type:
Full time

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.

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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 Dev Ops automation tools (Git Hub Actions, Jenkins, etc.).Familiarity with LLMs, RAG workflows, and AI frameworks (PyTorch, Tensor Flow).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.

Abilit…