Full Stack AI/ML Developer - Digital Products (Remote)

Date Posted 2026-10-18 Country United States of America Location US-CT-REMOTE Position Role Type Remote 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. Our Pratt & Whitney Digital Technology team has an exciting new remote job opportunity for a Full Stack AI/ML Developer - Digital Products. What You Will Do We have an exciting opportunity for a Full Stack | AI/ML Developer! The successful candidate will be collaborative, technically strong, and passionate about building digital products that deliver impactful user experiences. You will work across engineering, data science, AI/ML, design, and product teams to solve complex real-world problems and push the boundaries of what’s possible. This role will have a hands‑on impact on defining product vision, shaping roadmaps, integrating AI/ML capabilities, and delivering modern digital solutions that meet customer and business needs. Key Responsibilities Collaborate with cross-functional agile teams to design, build, and manage digital products from concept through launch and adoption. Develop front-end architectures and intuitive, responsive user interfaces. Leverage Palantir Foundry for data integration, ontology management, pipeline development, operational workflows, and deployment of data-driven applications and AI/ML use cases. Design and implement backend services using languages such as C#, Java, and Python. Build and maintain scalable APIs, microservices, and integration frameworks. Partner with Data Scientists and AI Engineers to integrate AI/ML models into applications, including inference pipelines, intelligent features, and model-driven user experiences. Build and maintain data and application pipelines that support AI/ML functionality and model deployment. Collaborate on feature engineering, model testing, validation, and operationalization to ensure stable and scalable AI usage. Apply DevOps practices across CI/CD, automated testing, cloud deployment, and containerized workloads. Influence stakeholders and support decision‑making through clear communication, structured artifacts, and product storytelling. Participate in Agile workflows including sprint definition, backlog prioritization, and iterative product releases. Stay current on emerging technologies including cloud platforms, AI/ML frameworks, front-end and backend tools, and modern development practices. Ensure solutions meet both technical requirements and customer needs. Support UI/UX design standards and best practices. Qualifications You Must Have Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field with 12+ years of applicable work experience; OR an Advanced Degree with 10+ years of applicable work experience. 10+ years of experience in data engineering, data architecture, analytics, AI/ML, or related technical domains. 5+ years architecting cloud-native data platforms (Azure, AWS, or GCP). Deep experience with Databricks, Lakehouse architectures, and modern ELT/ETL tooling. Strong understanding of distributed systems, real‑time data streaming, data governance, and API/Integration architectures. Hands‑on experience working with Palantir Foundry, including data pipelines transformations, ontology management, and application deployment. Demonstrated ability to design and implement enterprise‑scale data architecture solutions. Familiarity with AI frameworks and tooling such as MLflow, PyTorch, TensorFlow, and cloud‑native ML platforms (Azure ML, SageMaker, Vertex). Qualifications We Prefer 12+ years of experience in digital technology and/or product development. Experience with Azure, AWS, GCP, or other cloud platforms. Strong professional experience with Java and Spring Boot. Experience developing microservices and REST APIs. Proficient with CI/CD practices and production deployment. Experience with Agile software delivery. Experience with SDLC management. Experience with Docker, Kubernetes, and container orchestration platforms. Familiarity with web application security concepts. Experience with Apache Kafka and Kafka Streams. Experience building or supporting AI/ML features, including model integration, inference APIs, or application‑level ML workflows. Ability to explain technical concepts to engineering and non‑technical stakeholders. Strong interpersonal skills and ability to collaborate across teams. Strong problem‑solving skills and attention to detail. Ability to thrive in a fast‑paced environment with autonomy and accountability. Proven ability to drive modernization, cloud migration, or digital transformation initiatives. Salary Range The salary range for this role is 157,200 USD - 298,800 USD. Benefits 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 holidays Hired applicants may be eligible for annual short‑term and/or long‑term incentive compensation programmes depending on the level of the position and whether or not the position 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. Location Notes 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. Application Window 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. Equal Opportunity Employer Statement 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. This requisition is eligible for an employee referral award. #J-18808-Ljbffr