Senior Principal Machine Learning Engineer

About the role

Date Posted:

2026-10-22

Country:

United States of America

Location:

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

Position Role Type:

Hybrid

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

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

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.

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 is seeking a Senior Principal Machine Learning Engineer to join the Engineering AI Team within the Digital Engineering Organization. The team is tasked with accelerating end-to-end AI/ML solutions across our value stream (from Engine Design and Development, Production, and Sustainment), supporting enabling AI platforms, and building our Digital Discipline.

Lead the development and integration of AI/ML solutions into existing and future engineering systems, applying expertise across areas such as physics informed regressions, machine vision, language models, etc.

Build, test, deploy, and monitor AI systems across multiple use cases (design optimization, product inspection, field investigation, productivity assistants, etc.)

Lead the end-to-end lifecycle of AI and ML solutions, including data strategy, feature engineering, model training, validation, deployment, monitoring, and continuous improvement

Develop and maintain full stack software systems that integrate AI models and capabilities

Define, architect, and implement new capabilities, standards, and operational processes within the P&W AI Platform Ecosystem to improvement scalability, reliability, and adoption

Lead technical adoption and enablement efforts for enterprise AI capabilities partnering across Engineering, Digital, and Operations organizations

Establish, document, and promote AI/ML engineering standards and best practices while mentoring engineers and supporting development of the AI discipline

What You Will Learn:

Experience productionizing AI systems impacting the design, make, and sustainment of Pratt & Whitney engines

Experience productionizing Data & AI driven AI applications (regression, classification, computer vision, NLP/LLM/GenAI, forecasting, anomaly detection, etc.)

Experience supporting operational planning, governance, and adoption of enterprise-scale AI platforms across a global engineering organization

Exposure across the Digital Tools and Data Science discipline to build proficiency across Data & AI, MDAO, Cloud Computing, etc.

Build partnerships across the global Pratt & Whitney team (Engineering, Digital, Ops and across international sites)

Experience partnering with technical and business leaders to identify, prioritize, and implement high-value AI capabilities

Qualifications You Must Have:

Bachelor's degree in Science, Technology, Engineering or Mathematics (STEM) and 10+ years of relevant digital and/or engineering experience; or Advanced Degree in a related field and 7+ years of relevant digital and/or engineering work experience

Demonstrated experience leading the development and deployment of Data & AI solutions within complex engineering or enterprise environments, including technical leadership of significant initiatives

Experience leading production AI/ML solutions, including model development, deployment, MLOps, system integration, and operational support

Experience architecting and delivering software systems that integrate AI capabilities into engineering or business workflows

Hands on experience using LLM-based chat systems (ChatGPT, Gemini, Copilot, etc.)

Qualifications We Prefer:

Professional Certificates for AI and Cloud Applications (e.g., AWS Solution Architect Associate or Profession, AWS ML Specialty, etc.)

Prior knowledge of the aerospace industry (design, analysis, manufacture, and/or aftermarket support)

Experience developing, deploying, and maintaining a production cloud-based application (Amazon Web Services or Microsoft Azure)

Experience deploying and managing ML on edge devices

Experience developing, deploying, and maintaining Python-based packages or web/API applications

Experience implementing various types of AI solutions including, LLM/GenAI, Machine Vision, Physics Informed Regressions, etc.

Experience with ML packages such as Tensorflow or PyTorch

Experience defining and implementing standards, operational practices, or platform capabilities for enterprise AI environments such as Databricks, mlflow, AWS Sagemaker Studio, or similar technologies

Experience scaling production ML and MLOps capabilities across multiple projects, products, or organizations

Experience leading cross-functional technical efforts involving engineering, digital, cybersecurity, legal, or compliance stakeholders

Demonstrated success mentoring engineers and helping establish engineering best practices within an organization

Engineering experience with multi-disciplinary analysis and optimization (MDAO) experience with FEA or CFD and optimization

Disciplined software engineering experience (e.g., automated testing, code reviews, CI/CD)

Navigating compliance processes for export control, legal, cyber security, architectural review, etc.

What is my role type?

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:

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.

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 132,400 USD - 251,600 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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