Senior Principal Applied Scientist

Oracle Health Data Intelligence (HDI) is at the forefront of transforming healthcare through data and AI. To accelerate growth for our top global customers via the development and deployment of AI agents on our AIDP platform, we are seeking a Senior Principal Applied Scientist (IC5).
In this strategic role, you will lead complex engagements with nations, states, providers, payers, and life sciences partners to design and deliver high-impact data applications on Oracle’s AI Health Data Platform. You will serve as a bridge between customers and product engineering, ensuring that innovation and feedback loops are tightly aligned to business and regulatory realities.
Your leadership will directly support Oracle Health’s mission to improve outcomes and reduce costs through human-centric, data-driven healthcare transformation. This is a high-visibility, high-impact individual contributor role for someone who thrives at the intersection of AI innovation, healthcare strategy, and large-scale solution delivery.

Key Responsibilities
1. Strategic Technical Leadership
 

• Serve as the senior technical authority on designing and delivering AI/ML-powered health data applications, with a focus on AI agents, generative AI, and LLM architectures for large, regulated healthcare systems.
• Architect end-to-end solutions that leverage Oracle’s AIDP platform to solve population health, research, and clinical interoperability challenges at global scale.
• Influence product roadmaps by representing real-world customer requirements, regulatory constraints, and innovation opportunities to senior product and engineering leadership.

2. Advanced GenAI & LLM Innovation
 

• Lead the development, fine-tuning, and deployment of domain-specific LLMs and AI agents for healthcare use cases, including clinical summarization, interoperability, documentation automation, and predictive insights.
• Apply cutting-edge techniques such as RLHF, multi-modal data fusion, and knowledge grounding to improve accuracy, safety, and real-time performance.
• Set technical direction for GenAI initiatives across HDI, mentoring teams and shaping best practices for scalable, production-grade healthcare AI.

3. Complex Solution Architecture & Delivery
 

• Lead high-stakes solution engagements for top global customers, translating ambiguous clinical and operational needs into scalable, compliant architectures.
• Oversee the design of data ingestion and RAG pipelines, ensuring interoperability with EHR standards (e.g., FHIR, HL7) and adherence to security frameworks (e.g., HIPAA, HITRUST).
• Partner with field engineering, implementation, and customer success teams to ensure frictionless deployment, integration, and adoption.

4. Stakeholder Engagement & Thought Leadership
 

• Act as a trusted advisor to C-level executives, public sector leaders, and healthcare strategists on how AI agents can drive system-wide transformation.
• Represent Oracle at industry forums and regulatory discussions, helping shape the future of responsible healthcare AI.
• Publish technical insights, speak at conferences, and mentor Principal-level engineers and scientists to grow organizational capability.

5. Operational Excellence & Performance Optimization
 

• Establish rigorous evaluation, monitoring, and optimization frameworks for AI solutions to ensure real-time, high-accuracy performance in clinical environments.
• Drive innovation cycles by continuously feeding field learnings back into model architectures and platform capabilities.

Qualifications
Education:
 

• Master’s degree in Computer Science, Machine Learning, AI, or related field required; Ph.D. strongly preferred.

Experience:
 

• 10+ years of experience in AI/ML solution development, with 5+ years in senior or principal technical roles.
• Proven track record leading large-scale, production AI deployments in healthcare or other regulated industries.
• Demonstrated experience influencing cross-functional roadmaps and driving strategic outcomes with global customers.

Technical Skills:
 

• Deep expertise in GenAI, LLMs, and AI agent frameworks (e.g., GPT architectures, retrieval-augmented generation, orchestration frameworks).
• Advanced proficiency in Python and libraries such as Hugging Face Transformers, TensorFlow, or PyTorch.
• Strong understanding of multi-modal data integration, clinical interoperability standards (FHIR, HL7), and regulatory frameworks.
• Experience with distributed systems and cloud platforms (OCI, AWS, Azure, or GCP).

Leadership & Communication:
 

• Exceptional ability to engage with senior