e are looking for a Data & AI Infrastructure Team Leader to lead a team of Data Engineers and Software Engineers developing innovative clinical applications that power next-generation AI healthcare solutions. The team provides data management solutions, AI development infrastructure, software integration frameworks, evaluation and verification capabilities, and scalable deployment mechanisms.
This role requires end-to-end ownership and a broad systems perspective, from understanding customer needs and product requirements to enabling successful product delivery.
If you’re looking for a meaningful opportunity to make a real impact on healthcare and help improve patients’ lives, we’d love to hear from you.
Job Description
Key Responsibilities
Team Leadership
•
Lead, mentor, and grow a team of Data Engineers and Software Engineers.
•
Define team priorities, roadmap, and execution plans aligned with business and product objectives.
•
Foster engineering excellence, accountability, collaboration, and continuous improvement.
•
Drive effective cross-functional collaboration with Algorithm, Clinical, Product, Verification, Regulatory, and Systems Engineering teams.
•
Establish technical standards, best practices, and development processes.
Data Infrastructure & Data Operations
•
Lead the design, development, and maintenance of enterprise-grade data infrastructure supporting AI development.
•
Own database architecture, data repositories, and scalable data management solutions.
•
Drive solutions for clinical data collection, anonymization, curation, annotation, versioning, traceability, and lifecycle management.
•
Develop and maintain integrations with internal GE HealthCare systems and data sources.
•
Ensure secure, compliant, and efficient data access mechanisms for global development teams.
•
Support regulatory submissions through reproducible and auditable data preparation processes.
•
Establish data governance standards, quality controls, and operational excellence practices.
AI Software Platform & Integration Infrastructure
•
Lead development of software frameworks enabling integration of AI technologies into multiple product platforms and operating environments.
•
Drive creation of reusable SDKs, plugins, APIs, and services that accelerate AI deployment across products.
•
Support integration of AI solutions into Linux and Windows-based medical device platforms.
•
Define and maintain AI integration architecture, deployment mechanisms, and compatibility layers.
•
Enable rapid prototyping and evaluation environments for algorithm development teams.
•
Drive development of tools supporting algorithm execution, debugging, performance evaluation, reproducibility, and portability across host systems.
Verification, Validation & Development Infrastructure
•
Establish automated testing frameworks covering unit, integration, regression, performance, and system-level testing.
•
Lead development of CI/CD pipelines and release infrastructure supporting the AI software lifecycle.
•
Ensure traceability, reproducibility, maintainability, and quality throughout the development process.
•
Develop infrastructure supporting algorithm verification, system validation, and integration testing activities.
•
Drive engineering best practices for software quality, reliability, scalability, and maintainability.
Quality & Regulatory Compliance
•
Ensure all development activities comply with medical device quality systems and regulatory requirements.
•
Support processes aligned with FDA regulations, design controls, software lifecycle requirements, verification, validation, and traceability.
•
Establish infrastructure and workflows that enable compliant and efficient AI feature releases.
•
Partner with Regulatory, Quality, and Product teams to support audits, submissions, and lifecycle management activities.
Required Qualifications
•
B.Sc. or M.Sc. in Computer Science, Software Engineering, Data Engineering, or a related technical field.
•
5+ years of experience in software engineering, data engineering, platform engineering, or related disciplines.
•
2+ years of experience leading technical teams.
•
Strong experience designing and operating data management platforms and workflows.
•
Strong software architecture and system integration background.
•
Experience building and maintaining APIs, SDKs, services, and distributed systems.
•
Strong programming skills in Python and modern software development practices.
•
Deep knowledge of SQL, databases, and large-scale data processing.
•
Experience with automated testing frameworks and CI/CD pipelines.
•
Excellent leadership, communication, and stakeholder management skills.
Preferred Qualifications
•
Experience in medical devices, healthcare software, or other regulated industries.
•
Experience supporting AI/ML development workflows and MLOps practices.
•
Experience integrating AI models into production products.
•
Knowledge of healthcare and medical imaging standards such as DICOM and FHIR.
•
Experience with Linux and Windows development environments.
•
Experience with cloud platforms and modern DevOps technologies.
•
Familiarity with FDA design controls, software lifecycle processes, and regulatory requirements for medical devices.
Why Join Us
This role provides a unique opportunity to lead a highly impactful engineering team that enables the successful development, integration, validation, and deployment of AI technologies across multiple healthcare products. You will play a key role in establishing the scalabledata and software foundations that accelerate innovation while ensuring compliance with the highest standards of quality, reliability, andpatient safety.