-
Strategic Leadership and Roadmap Oversight: ensure AI/ML initiatives include prototypes, pilots and production deployments; maintain alignment with F135 priorities; establish metrics and governance frameworks to ensure progress and impact of initiatives
-
Technical Direction and Execution: drive MLOps practices across design, development, training, deployment, operation of production-grade AI/ML models and solutions; drive solution fitness and integration with existing and planned digital systems.
-
Compliance, Security and Risk Management: ensure F135 Program, customer, and enterprise data/software/cyber requirements are met; implement technical practices aligned to DoD Responsible AI guidelines.
-
Cross-Functional Collaboration: partner with PDS Agile teams, citizen dev teams, the integrated f135 Program functions, the Research Center; liaise with business development to support proposals, engage with external partners to drive pilots.
-
Talent Development and Discipline Leadership: mentor AI/ML talent; engage with established Disciplines communities; drive CORE/continuous learning, contribute best practices, technical feedback and reviews
-
Stakeholder Engagement and Communication: communicate concepts with clarity to executives and customers; provide regular roadmap updates; influence investments by quantifying the value and potential of AI/ML.
-
Innovation and Thought Leadership: track emerging AI/ML industry capabilities and assess applicability to F135; drive workshops and events leading to education and new pilot programs; represent the company at external events and forums.
Qualifications You Must Have:
-
Bachelor’s Degree Required
-
A minimum of 12 years of experience in solutions architecture or data architecture including a minimum of 7 years in AI/ML model development, deployment and lifecycle management, or an advanced degree in Computer Science or field related to Artificial Intelligence and Machine Learning with 7+ years of experience in solutions architecture or data architecture including a minimum of 4 years in AI/ML model development, deployment and lifecycle management
-
Strong programming skills in Python and experience with ML frameworks (e.g. PyTorch); familiarity with MLOps, data pipelines, and secure model deployment
-
Experience leading cross-functional technical teams and managing multiple projects. Ability to communicate AI/ML concepts to technical and executive audiences
-
Working knowledge of government software compliance frameworks (NIST 800-171, CMMC)
-
Must be a U.S. Citizen. This position may require access to systems/tools that are restricted to individuals who possess US citizenship
Qualifications We Prefer:
-
Experience in specialized technology domains, including but not limited to Agentic AI, Ontology, Knowledge Graph, Networking, Cybersecurity, AI/ML engineering best practices
-
Experience in Aerospace & Defense systems, digital twins, or mission-critical applications, government cloud environments, transitioning Al from R&D to production in regulated environments
-
Knowledge of model validation & verification (V&V) for safety-critical systems, AI explainability and bias mitigation practices
-
Contributions to Al research, patents, or industry standards
-
Proven success in proposal writing, capture support, and customer engagement for government contracts
Learn More and Apply Now!
In addition to transforming the future of flight, we are also transforming how and where we work. We’ve introduced role types to help you understand how you will operate in our blended work environment. This role is: Remote
Remote: Employees who are working in Remote roles will work primarily offsite (from home).
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.
The salary range for this role is 147,000 USD - 295,000 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 candidate’s 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 company’s 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.
Privacy Policy and Terms:
Click on this link to read the Policy and Terms
