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

Overview

Remote Full Stack AI/ML Developer on the Pratt & Whitney Digital Technology team, building digital products that integrate AI/ML capabilities and deliver modern user experiences.

What you'll do

• 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.

What you'll need

• 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).

Nice to have

• 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.

Details

• Remote role, primarily offsite (from home); a degree of onsite presence may be discussed by the manager if the candidate lives within a reasonable commute of an RTX site.
• U.S.-based role; U.S. citizenship is required.
• Security clearance not required.
• Candidates may be asked to attend select interview steps in person at an office location.
• Employee referral award eligibility applies to this requisition.