Principal Member of Technical Staff

Oracle Oracle · Enterprise · United States

Principal Member of Technical Staff role focused on developing next-generation Healthcare Agents using generative AI and cloud-native technologies. Responsibilities include leading agentic AI workflow strategy, design, and implementation, serving as a subject matter expert, influencing roadmaps, and owning platform capabilities for data ingestion, retrieval, and AI-driven workflows within the healthcare domain.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. Own and continuously improve platform capabilities for data ingestion, storage, processing, retrieval, conversational search, semantic search, summarization, and AI-driven healthcare workflows.
  5. Drive complex and ambiguous architecture and implementation decisions where analysis of data, performance, privacy, security, and healthcare constraints requires evaluation of intangibles.

Skills

Required

  • BS or MS degree in Computer Science or a related field
  • 6-10+ years of relevant software development experience
  • Hands-on experience building AI/ML or generative AI applications
  • LLM-powered workflows
  • agentic systems
  • prompt engineering
  • tool/function calling
  • Java, Python, or similar object-oriented languages
  • Strong software engineering fundamentals
  • data structures
  • algorithms
  • RESTful services
  • microservices architecture
  • cloud-native development on major cloud platforms (OCI, Azure, GCP, AWS)
  • In-depth knowledge of data architecture
  • database design
  • data modeling
  • analytics
  • metadata management
  • data-access controls
  • data pipeline orchestration using tools like Kafka, Flink, and RabbitMQ
  • Understanding of system design and distributed systems architecture best practices
  • cloud engineering infrastructure
  • containerization (Kubernetes, Docker)
  • Excellent communication skills

Nice to have

  • leadership focus preferred
  • mentoring junior team members

What the JD emphasized

  • healthcare regulatory compliance
  • AI/ML or generative AI applications
  • LLM-powered workflows
  • agentic systems
  • tool/function calling

Other signals

  • Generative AI
  • Agentic AI workflows
  • LLM-powered workflows
  • Healthcare Agents