Date Posted: September 23, 2026 | Location: Remote, United States | Job Type: Full-time About The Company Pratt & Whitney, a business of RTX, is a world leader in the design, manufacture, and service of aircraft engines and auxiliary power systems. For more than 100 years, Pratt & Whitney has helped revolutionize modern flight. RTX brings together approximately 185,000 people to solve complex challenges and advance aerospace and defense through innovation, research, and world-class operations. Join Pratt & Whitney Digital Technology and help develop digital products that support customers and shape the future of aerospace. About The Role Pratt & Whitney is seeking a Full Stack AI/ML Developer – Digital Products to build and evolve modern digital solutions. This remote, U.S.-based role combines full-stack development, cloud data architecture, and applied AI/ML. You will partner with engineering, data science, AI, design, and product teams to turn complex business and customer needs into reliable, intuitive products. You will contribute to product vision and roadmaps, integrate AI/ML capabilities, and support solutions from early concept through launch and adoption. This position requires U.S. citizenship because access to program information is restricted to U.S. citizens. No security clearance is required.

Qualifications

Required qualifications include a bachelor’s degree in computer science, engineering, data science, or a related technical field and 12 or more years of applicable experience, or an advanced degree and 10 or more years of applicable experience. Candidates should bring at least 10 years of experience in data engineering, data architecture, analytics, AI/ML, or a related technical domain, including five or more years architecting cloud-native data platforms on Azure, AWS, or GCP. Deep experience with Databricks, Lakehouse architectures, and modern ELT/ETL tools is expected. You should understand distributed systems, real-time streaming, data governance, and API and integration architectures, and have demonstrated experience delivering enterprise-scale data architecture. Familiarity with MLflow, PyTorch, TensorFlow, and cloud ML services such as Azure ML, SageMaker, or Vertex is also required. Preferred experience includes digital technology or product development, Java and Spring Boot, microservices, REST APIs, CI/CD, Agile delivery, SDLC management, Docker, Kubernetes, Kafka, and Kafka Streams. Experience integrating models, developing inference APIs, or supporting application-level ML workflows is valuable. Strong communication, collaboration, problem-solving, and attention to detail are essential, along with the ability to work independently and guide modernization, cloud migration, or digital transformation initiatives.

Responsibilities

Collaborate with cross-functional Agile teams to design, build, and manage digital products from concept to release. Develop front-end architectures and responsive, accessible user interfaces, and implement backend services using technologies such as C#, Java, and Python. Build and maintain scalable APIs, microservices, and integration frameworks. Partner with data scientists and AI engineers to integrate models, inference pipelines, intelligent features, and model-driven experiences into applications. Support data and application pipelines, feature engineering, model testing, validation, deployment, and ongoing operations. Apply DevOps practices, including automated testing, CI/CD, cloud deployment, and containerization. Contribute to sprint planning, backlog prioritization, and iterative releases. Communicate technical recommendations clearly, support sound product decisions, uphold UI/UX standards, and ensure solutions meet technical, customer, and business needs.

Benefits

The anticipated salary range is $157,200–$298,800 annually. Actual offers consider experience, location, education, skills, responsibilities, and other relevant factors. Eligible employees may receive medical, dental, and vision coverage; life and disability insurance; a 401(k) match; flexible spending accounts; flexible work schedules; an employee assistance program; the Employee Scholar Program; parental leave; paid time off; and holidays. Incentive compensation may also be available depending on position level and applicable agreements. Benefits and incentive eligibility vary, and incentive payments are not guaranteed. The application window is expected to remain open for approximately 40 days after posting, subject to business needs and candidate flow. Equal Opportunity RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status under applicable law. RTX provides affirmative action for qualified individuals with disabilities and protected veterans in accordance with applicable federal requirements.