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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.
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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
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.
Learn More & Apply Now
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 employee’s personal responsibility.
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select 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.
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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About RTX
Aerospace & Defense10,001+Founded 2020
RTX is a global aerospace and defense company that develops advanced technologies and systems for commercial, military, and government customers through its three business units: Collins Aerospace, Pratt & Whitney, and Raytheon.
