Full Stack AI/ML Developer – Digital Products

RTX

. Collaborate with cross-functional agile teams to design, build, and manage digital products from concept through launch and adoption .

Posted 10/19/2026full-timeRemote • Connecticut • United StatesSeniorLead💰 $157,200 - $298,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data architectures and applications, leveraging AI/ML frameworks and cloud-native platforms. Proficient in collaborating with cross-functional teams to deliver data-driven solutions while adhering to Agile methodologies.

Highest-signal resume keywords

Data EngineeringCloud-Native Data PlatformsAI/ML IntegrationPalantir FoundryAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C#JavaPythonData ArchitectureAPI DevelopmentMicroservicesCI/CDELT/ETLData GovernanceDistributed Systems

Soft Skills

Clear CommunicationStakeholder InfluenceCollaboration

Tools & Technologies

AzureAWSGCPDatabricksMLflowPyTorchTensorFlowSageMakerDockerKubernetes

Industry Keywords

Digital TransformationData IntegrationOperational WorkflowsReal-Time Data StreamingWeb Application Security

Tech Stack

Tools & technologies

ApacheAWSAzureCloudDistributed SystemsDockerETLGoogle Cloud PlatformJavaKafkaKubernetesMicroservicesPythonPyTorchSDLCSpringSpring BootSpringBootTensorflow

About the role

Key responsibilities & impact

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 through clear communication, structured artifacts, and product storytelling
Participate in Agile workflows, sprint definition, backlog prioritization, and iterative product releases
Stay current on 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

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 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, or Vertex
U.S. citizenship required
Preferred: experience with Java and Spring Boot, microservices, REST APIs, CI/CD, Agile, SDLC management, Docker, Kubernetes, web application security, Apache Kafka, Kafka Streams, AI/ML features, and cloud migration/digital transformation

Benefits

Comp & perks

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
Remote work primarily from home