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Full Stack AI​/ML Developer - Digital Products; Remote

Remote / Online - Candidates ideally in
Waterbury, New Haven County, Connecticut, 06720, USA
Listing for: Prattwhitney
Full Time, Remote/Work from Home position
Listed on 2026-09-30
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 157000 - 299000 USD Yearly USD 157000.00 299000.00 YEAR
Job Description & How to Apply Below
Position: Full Stack AI/ML Developer - Digital Products (Remote)

Date Posted:  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.
  • 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 Dev Ops 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…
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