Oracle Health & AI is looking to solve the problem of modernizing and automating healthcare by developing and integrating state-of-the-art AI solutions into healthcare products.
Requirements
- Deep technical expertise in machine learning systems, GenAI/LLM model architectures, development/deployment of AI agents, and recommendation & ranking systems at enterprise scale.
- Proven track record in delivering large-scale AI/ML products.
- Experience driving end-to-end applied science solutions in partnership with cross-functional teams, including engineering, and customer-facing roles.
- Strong background in recruiting, developing, and leading senior individual contributors (ICs) and building high-performing teams.
- 10+ years of applied science or technical leadership experience, with significant recent leadership in AI, ML, recommendation systems.
- PhD or Master’s degree in computer science, electrical engineering, physics or related technical field with focus on machine learning and artificial intelligence.
- A minimum of 5 years of people management experience.
Responsibilities
- Build and lead a high-performing applied science and engineering team dedicated to delivering high-impact AI products with AI Agents, GenAI models, and RAG workflows etc—within Oracle Health AI.
- Develop, retain and attract top applied science and engineering talent.
- Drive science, engineering and operational excellence.
- Define and execute the vision for next-generation AI services and products for healthcare.
- Evaluate, architect, and integrate emerging AI technologies—assessing their relevance, maturity, and impact.
- Establish best practices for scalable, secure, and robust deployment of GenAI powered services.
- Shape technical strategy and influence the product roadmap by translating technology advancements and customer requirements into actionable applied science plans.
Other
- A minimum of 5 years of people management experience.
- Strong business acumen with the ability to balance strategic technical vision with operational execution and customer needs.
- Exceptional communication and stakeholder management skills, with the ability to influence at all levels including with enterprise customers.
- Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
- PhD or Master’s degree in computer science, electrical engineering, physics or related technical field with focus on machine learning and artificial intelligence.
