Full Stack AI/ML Developer - Digital Products (Remote)
About The Position
Pratt & Whitney Digital Technology is hiring a remote Full Stack AI/ML Developer to build digital products and deliver impactful user experiences. The successful candidate will work across engineering, data science, AI/ML, design, and product teams to solve complex problems. The role contributes hands-on to product vision and roadmaps, integrates AI/ML capabilities, and delivers modern digital solutions that address customer and business needs. The developer will work across the product lifecycle, from concept through launch and adoption. The position combines front-end development, backend services, data platform and pipeline work, AI/ML integration, and DevOps. Palantir Foundry is used for data integration, ontology management, pipeline development, operational workflows, and deployment of data-driven applications and AI/ML use cases. The role is remote, primarily performed offsite from home. Applicants must be U.S. citizens because the work involves information accessible only to U.S. citizens.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field and 12+ years of applicable work experience, or an advanced degree and 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 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.
Nice To Haves
- 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.
- 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 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 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 insurance
- Long-term disability insurance
- 401(k) match
- Flexible spending accounts
- Flexible work schedules
- Employee assistance program
- Employee Scholar Program
- Parental leave
- Paid time off
- Holidays
- Potential annual short-term and/or long-term incentive compensation, depending on position level and collective-bargaining coverage
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What This Job Offers
Job Type
Full-time
Career Level
Senior
