Full Stack AI Platform Engineer – AI Accelerator

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.

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.

Qualifications

• 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.