Senior Principal Machine Learning Engineer; Hybrid

Position: Senior Principal Machine Learning Engineer (Hybrid)
Job d:
Posted Today

Start Date:

Location:

US-CT-EAST HARTFORD-ETC ~ 400 Main St ~ BLDG ETC Country:
United States of America Time Type:
Full time

Date Posted:

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 product ionizing AI systems impacting the design, make, and sustainment of Pratt & Whitney engines

Experience product ionizing 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,…