About the job
As a Principal Member of Technical Staff, you will be a key contributor to the development and success of our next-generation Healthcare Agents, which leverages the power of generative AI and cloud-native technologies. Your expertise in data platform engineering and service development will drive the creation of a robust and intelligent system, enhancing the healthcare experience for patients and clinicians alike.
Responsibilities
Lead the strategy, design, and implementation of the Agentic AI workflows, shaping scalable, secure, and AI-optimized architecture across teams and LOB priorities with meaningful impact on Oracle Health outcomes.
Serve as a recognized subject matter expert for agentic AI, healthcare data platforms, search/NLP, and cloud-native backend architecture; translate industry practices into durable platform standards and reusable patterns.
Influence and align AI researchers, healthcare domain experts, product, security, operations, and LOB leadership to define roadmaps, resolve architectural tradeoffs, and drive cross-functional execution.
Own and continuously improve platform capabilities for data ingestion, storage, processing, retrieval, conversational search, semantic search, summarization, and AI-driven healthcare workflows.
Drive complex and ambiguous architecture and implementation decisions where analysis of data, performance, privacy, security, and healthcare constraints requires evaluation of intangibles.
Advise leadership on platform strategy, operational readiness, data security, privacy, access controls, encryption, and healthcare regulatory compliance.
Mentor and guide engineers across teams; build technical depth through design reviews, knowledge-sharing, reference implementations, and coaching that uplifts peers beyond the immediate team.
Use customer and market understanding to shape platform propositions, identify opportunities, and deliver competitive advantage for Oracle Health and its customers.
Qualifications
Minimum
BS or MS degree in Computer Science or a related field is required, with a strong academic background.
6-10+ years of relevant software development experience, with a focus on backend and data-centric applications with a leadership focus preferred
Hands-on experience building AI/ML or generative AI applications, including LLM-powered workflows, agentic systems, prompt engineering, and tool/function calling.
Proficient in Java, Python, or similar object-oriented languages for building robust backend systems.
Strong software engineering fundamentals, including expertise in data structures, algorithms, RESTful services, and microservices architecture.
Hands-on experience with cloud-native development on major cloud platforms (OCI, Azure, GCP, AWS) is essential.
In-depth knowledge of data architecture, including database design, data modeling, analytics, metadata management, and data-access controls.
Experience with data pipeline orchestration using tools like Kafka, Flink, and RabbitMQ.
Understanding of system design and distributed systems architecture best practices.
Familiarity with cloud engineering infrastructure and containerization (Kubernetes, Docker).
Excellent communication skills for conveying complex technical concepts to both technical and non-technical stakeholders.
Demonstrated technical leadership and a passion for mentoring junior team members.
Preferred
No preferred qualifications listed.