Full Stack AI/ML Developer – Digital Products
Posted 1hrs ago
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Job Description
Full Stack AI/ML Developer building AI-enabled digital products for RTX, a global aerospace and defense company. Designing cloud-native data platforms, applications, APIs, and ML integrations.
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 C#, Java, and Python
- Build and maintain scalable APIs, microservices, and integration frameworks
- 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
- 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 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
Requirements:
- U.S. citizenship is required; only U.S. citizens are authorized to access information under this program/contract
- 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 using 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
- Ability to design and implement enterprise-scale data architecture solutions
- Familiarity with MLflow, PyTorch, TensorFlow, Azure ML, SageMaker, and Vertex
- Experience with Java and Spring Boot preferred
- Experience developing microservices and REST APIs preferred
- Proficiency with CI/CD practices and production deployment preferred
- Experience with Agile software delivery and SDLC management preferred
- Experience with Docker, Kubernetes, and container orchestration platforms preferred
- Familiarity with web application security concepts preferred
- Experience with Apache Kafka and Kafka Streams preferred
- Experience building or supporting AI/ML features, inference APIs, or application-level ML workflows preferred
- Ability to explain technical concepts to engineering and non-technical stakeholders preferred
- Strong interpersonal, problem-solving, and attention-to-detail skills preferred
- Ability to thrive in a fast-paced environment with autonomy and accountability preferred
- Proven ability to drive modernization, cloud migration, or digital transformation initiatives preferred
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
- Employee referral award may be available, subject to eligibility requirements

















