Associate Director, Engineering AI (Onsite)

Date Posted:

2026-11-12



Country:

United States of America



Location:

US-CT-EAST HARTFORD-ETC ~ 400 Main St ~ BLDG ETC



Position Role Type:

Onsite



U.S. Citizen, U.S. Person, or Immigration Status Requirements:

The ability to obtain and maintain a U.S. government issued security clearance is required.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance



Security Clearance Type:

DoD Clearance: Secret



Security Clearance Status:

Active and existing security clearance required after day 1

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.

Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.

What You Will Do:

Pratt & Whitney (P&W) is seeking an Associate Director to lead the Engineering Artificial Intelligence (AI) Team within the EDSI Digital Engineering organization. The team accelerates Engineering’s adoption of AI by delivering production AI systems, driving AI platforms, introducing AI productivity capabilities, and strengthening the Digital Tools & Data Science Discipline. In partnership with teams across Pratt & Whitney and RTX, this organization develops and sustains AI capabilities that support the full engine lifecycle, including product development, production, and sustainment.

• Lead, coach, and develop a technical team responsible for delivering and sustaining production AI systems used in engineering design, analysis, production, and sustainment workflows.
• Guide the delivery of AI solutions such as LLM and retrieval-augmented generation applications, computer vision systems, physics-informed and surrogate models, and workflow-integrated machine learning capabilities.
• Ensure the team delivers reliable AI applications and enabling services across the full lifecycle; data integration, model development/validation, MLOps, deployment, monitoring, and continuous improvement.
• Partner with Engineering, Digital, and Program teams to embed AI into engineering tools, inspection systems, and digital workflows.
• Ensure all AI solutions meet Responsible AI requirements (safety, quality, legal, regulatory, cyber, export, software lifecycle, and architecture).
• Represent the Engineering AI Team in cross-functional forums and communicate priorities, risks, and results to technical and business leaders.
• Set clear objectives, technical practices, metrics, and standards while promoting reusable, well-engineered solutions and knowledge sharing.
• Work with the Digital Tools & Data Science discipline to define and deploy standard work, best practices, and training.
• Recommend and implement processes, standards, and platforms that improve AI delivery across Engineering.
• Translate P&W and RTX AI strategy into Engineering operating plans, roadmaps, and staffing plans.
• Build workforce and staffing plans, develop leaders, and manage relevant budgets or investments.
• Align AI priorities across multiple organizations and programs, and advise senior leadership on AI opportunities, risks, and tradeoffs.

What You’ll Learn:

• How AI is applied to engine design, production, and sustainment.
• How to balance innovation with Responsible AI (safety, quality, legal, regulatory, cyber, etc.).
• How to partner with AI leaders across global Engineering, Digital, Program, and RTX.
• How senior leaders evaluate AI opportunities, risks, and organizational tradeoffs at scale.
• How to coordinate AI portfolios, platforms, standards, and talent across different global organizations.
• How to turn enterprise AI strategy into concrete operating plans, investments, and measurable outcomes.

Qualifications You Must Have:

• Bachelor’s degree in a STEM (Science, Technology, Engineering, or Math) field and 12+ years of relevant digital and/or engineering experience OR an advanced degree and 10+ years of relevant experience.
• Proven experience leading technical teams delivering production AI, ML, data, or digital engineering capabilities.
• Experience applying AI to complex technical workflows (e.g., engineering analysis, physics-based analysis, manufacturing inspection, sustainment).
• Experience overseeing development, deployment, integration, monitoring, and support of software with AI components.
• Experience working through cross-functional dependencies and navigating Responsible AI requirements (safety, quality, legal, regulatory, export, cyber, software lifecycle, architecture, validation).
• Working knowledge of modern AI (especially LLMs and RAG), including use cases, limitations, validation, and operational risks.
• Experience with workforce planning, resource allocation, and investment/prioritization decisions across competing needs.
• 10% Travel

Qualifications We Prefer:

• Advanced degree in engineering, computer science, data science, software engineering, or related field.
• Active security clearance
• Experience leading AI or digital capabilities in aerospace, defense, manufacturing, or other regulated environments.
• Hands-on or leadership experience with: LLM/RAG systems,Computer vision,Physics-informed ML, surrogate modeling, optimization, anomaly detection, or similar engineering AI methods
• Experience with cloud and enterprise AI platforms (e.g., AWS, Azure, Databricks, MLflow, SageMaker), including restricted or closed environments.
• Experience establishing MLOps, AI validation, Responsible AI, software engineering, or model lifecycle standards.
• Experience turning enterprise technology direction into roadmaps, operating plans, and measurable outcomes.
• Experience coordinating AI/digital/engineering transformation across multiple organizations, programs, disciplines, or sites.
• Experience managing budgets, technology investments, vendors, or resource portfolios.
• Experience building workforce capability strategies, technical leadership pipelines, training roadmaps, and communities of practice.
• Experience presenting recommendations to senior and executive leaders on technology strategy, investment, organizational capability, responsible adoption, and delivery risk.

Learn More & 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:

Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance workers, as they are essential to the development of our engines.

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.

The salary range for this role is 157,200 USD - 298,800 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.

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