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

RTX•US-CT-REMOTE, CT

6d•$157,200 - $298,800•Remote

About The Position

Pratt & Whitney’s Digital Technology team is hiring a remote Full Stack AI/ML Developer for Digital Products. The role involves building digital products and impactful user experiences while working across engineering, data science, AI/ML, design, and product teams. The developer will help define product vision and roadmaps, integrate AI/ML capabilities, and deliver modern digital solutions aligned with customer and business needs. The position covers front-end and backend development, data integration and architecture, AI/ML application integration, and product delivery. It uses Palantir Foundry for data integration, ontology management, pipelines, operational workflows, and application deployment. The role also applies DevOps practices, cloud deployment, containerized workloads, and Agile delivery. The position is remote, with employees primarily working offsite from home; a manager may discuss some onsite presence for employees living near an RTX site.

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field and 12 or more years of applicable work experience, or an advanced degree and 10 or more years of applicable work experience.
10 or more years of experience in data engineering, data architecture, analytics, AI/ML, or related technical domains.
5 or more years architecting cloud-native data platforms on 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 with Palantir Foundry, including data pipeline 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 such as Azure ML, SageMaker, or Vertex.
U.S. citizenship is required because only U.S. citizens are authorized to access information under the program/contract.

Nice To Haves

12 or more 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.
Proficiency 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.

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.
Use 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 supporting AI/ML functionality and model deployment.
Collaborate on feature engineering, model testing, validation, and operationalization to support stable, scalable AI use.
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 with emerging cloud platforms, AI/ML frameworks, development tools, and practices.
Ensure solutions meet technical requirements and customer needs.
Support UI/UX design standards and best practices.

Benefits

Medical insurance
Dental insurance
Vision insurance
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
Annual short-term and/or long-term incentive compensation programs may be available, depending on position level and collective-bargaining coverage; payments are not guaranteed.