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 9/24/2026full-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 architecture solutions, integrating AI/ML models, and applying DevOps practices across cloud platforms. Proficient in collaborating with cross-functional teams to deliver digital products while ensuring adherence to UI/UX standards and best practices.

Highest-signal resume keywords

Data EngineeringCloud-Native Data PlatformsAI/ML IntegrationMicroservices DevelopmentCI/CD Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C#JavaPythonDatabricksLakehouse ArchitectureELT/ETL ToolingAPI DevelopmentMicroservicesREST APIsData Architecture

Soft Skills

Interpersonal SkillsProblem-SolvingAttention to DetailCommunication SkillsAutonomy

Tools & Technologies

AzureAWSGCPDockerKubernetesMLflowPyTorchTensorFlowSageMakerApache Kafka

Industry Keywords

AgileDevOpsDigital TransformationCloud MigrationData Governance

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
Design and implement backend services using 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
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, AI/ML, front-end, backend, and development technologies
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
Demonstrated ability to design and implement enterprise-scale data architecture solutions
Familiarity with MLflow, PyTorch, TensorFlow, Azure ML, SageMaker, and Vertex
U.S. citizenship is required
Preferred: 12+ years of experience in digital technology and/or product development
Preferred: Experience with Azure, AWS, GCP, or other cloud platforms
Preferred: Strong professional 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: Experience driving modernization, cloud migration, or digital transformation initiatives

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