Principal Applied Scientist

Job Description

We are seeking an exceptional Principal Applied Scientist with deep expertise in machine learning, large language models (LLMs), and agentic/LLM-powered application development. In this role, you will design and build ML and GenAI solutions for the healthcare domain—ranging from classical model development to LLM prompt and workflow optimization, fine-tuning, evaluation, and deployment of agentic systems. You will own the end-to-end lifecycle from prototyping through production, partnering closely with engineering to deliver scalable, reliable, and secure services.

You will collaborate with healthcare domain experts, product managers, and engineers to identify high-impact opportunities, define product requirements, and ship cutting-edge capabilities with a strong emphasis on LLMs and Generative AI. Your work will be pivotal in delivering new GenAI-powered solutions for healthcare and enterprise customers, with a focus on measurable outcomes, rigorous evaluation, and production readiness.

• Partner with Product Management to translate business requirements into technical problem statements, success metrics, and ML/LLM evaluation plans.
• Drive end-to-end model development: dataset definition/labeling strategy, feature engineering, model selection, training, hyperparameter tuning, and error analysis for both classical ML and deep learning.
• Develop and optimize LLM-based systems including prompt engineering, tool/function calling, RAG (retrieval, chunking, embedding selection), fine-tuning/PEFT where appropriate, and systematic prompt/model iteration using quantitative and qualitative evaluation.
• Design and implement agentic workflows (planning, tool orchestration, memory, policy/guardrails, retry/fallback strategies) with strong emphasis on reliability, determinism where needed, and observability.
• Own the path from research POC to production by establishing MLOps best practices: reproducible training pipelines, model/version management, CI/CD for ML, automated testing (data/model/prompt), and deployment runbooks.
• Architect and review AI solution designs across data, training, serving, and evaluation—covering data quality/lineage, scalability, latency/throughput targets, cost efficiency, and secure handling of sensitive healthcare data.
• Productionize models and services with engineering partners: containerized inference, batch vs online serving patterns, API design, integration testing, performance benchmarking, and capacity planning.
• Establish monitoring and continuous improvement loops: drift detection, model/prompt regression testing, online quality metrics, incident response, and post-deployment iteration based on telemetry and user feedback.
• Coordinate with multinational teams to deliver milestones on time, unblock dependencies, and ensure consistent engineering standards across code, documentation, and operational readiness.
• Participate in planning, design reviews, and retrospectives, providing technical leadership on scope, tradeoffs, risk management, and roadmap sequencing.

Disclaimer:

Certain U.S. based or U.S. customer or client‑facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates and/or drug testing requirements.

Range and benefit information provided in this posting are specific to the stated locations only.

US:
Hiring Range in USD from: $120,100 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

• Medical, dental, and vision insurance, including expert medical opinion
• Short term disability and long term disability
• Life insurance and AD&D
• Supplemental life insurance (Employee/Spouse/Child)
• Health care and dependent care Flexible Spending Accounts
• Pr…