Senior Principal Machine Learning Engineer (Hybrid)

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