Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A leading healthcare organization and medical research institution is advancing the use of artificial intelligence to transform healthcare delivery, accelerate medical research, and improve patient outcomes. Its technology teams are developing secure, compliant, and scalable Generative AI platforms that connect pioneering research with real-world clinical applications.
Leadership & Strategy
- Recruit, lead, and mentor a high-performing team of software engineers and data scientists.
- Foster a culture of innovation, collaboration, technical excellence, and continuous improvement.
- Partner with clinical and product leadership to establish and execute the strategic technical roadmap for the AI platform.
- Align engineering priorities with organizational goals and high-impact clinical opportunities.
- Ensure AI applications comply with healthcare regulations, including HIPAA, applicable data privacy requirements, and ethical AI standards.
- Provide technical direction while maintaining hands-on involvement in critical engineering and architectural decisions.
Technical Delivery & Execution
- Oversee the architecture and design of a scalable, secure, and reliable Generative AI platform.
- Ensure robust integration with existing electronic health record systems and clinical workflows.
- Lead the design and development of sophisticated agentic frameworks that enable the rapid creation and deployment of AI-powered workflows.
- Manage the development of user-facing AI applications and comprehensive platform APIs for enterprise-wide consumption.
- Oversee multiple concurrent development streams and releases while maintaining high standards for quality and timely delivery.
- Establish and oversee modern MLOps practices for AI/ML development, deployment, monitoring, and evaluation.
- Implement advanced Generative AI evaluation methodologies in collaboration with data science and AI research teams.
- Guide the development of infrastructure, environments, and engineering processes required to operate a production-grade clinical AI platform.
Collaboration
- Serve as a technical bridge between engineering teams and AI research organizations.
- Translate innovative AI research into practical, production-ready platform capabilities.
- Collaborate with product management, user success, clinical teams, researchers, and other stakeholders to identify and prioritize high-impact AI opportunities.
- Communicate complex technical concepts effectively to technical, business, and clinical audiences.
- Build strong relationships across the organization to support successful adoption and deployment of AI-powered solutions.
Required Qualifications
- 10+ years of experience in software engineering.
- At least 5+ years of experience in a senior leadership position, such as Manager, Senior Manager, or Director, managing software development teams.
- Proven experience leading teams that have successfully built, deployed, and scaled AI/ML products.
- Deep technical knowledge of the modern Generative AI technology stack, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and agentic frameworks.
- Expertise in designing and building scalable, cloud-native systems using platforms such as GCP, AWS, or Azure.
- Strong experience with container orchestration technologies, particularly Kubernetes.
- Extensive knowledge of API design, microservices architecture, CI/CD, and MLOps principles.
- Exceptional ability to mentor engineers, establish technical direction, and manage complex projects involving multiple stakeholders.
- Outstanding communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical and clinical audiences.
Education Qualifications
- BS or MS in Computer Science, Artificial Intelligence, or a related engineering field.
Preferred Qualifications
- PhD in Computer Science, Artificial Intelligence, or a related field.
- Experience developing and operating AI/ML solutions within highly regulated environments.
- Experience applying Generative AI, agentic systems, and modern MLOps practices to real-world production applications.
- Experience bridging academic AI research with production engineering and enterprise-scale software platforms.
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals globally.
- No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
- No Client Relationship: This company is not a client of SpringCube unless stated.
- To Apply: Click the Apply button to be redirected to the hiring company’s application page for this job.
- No Liability: SpringCube is not liable for inaccuracies.
