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REMOTE Applied Science Architect- Oracle Health

Remote / Online - Candidates ideally in
Dover, Kent County, Delaware, 19904, USA
Listing for: Ll Oefentherapie
Remote/Work from Home position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 139400 USD Yearly USD 139400.00 YEAR
Job Description & How to Apply Below
Position: [REMOTE] Applied Science Architect- Oracle Health

[REMOTE] Applied Science Architect
- Oracle Health

United States
Redwood City, CA, United States

Trending

  • Job Identification 306161
  • Job Category Product Development
  • Posting Date 11/07/2025, 08:29 PM
  • Job Type Regular Employee
  • Does this position require a security clearance? No
  • Years 6 to 10+ years
  • Applicants are required to read, write, and speak the following languages English
Job Description

Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health & AI. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution as an applied science leader to make it a world class science and engineering center with the focus on excellence.

As an Architect, you will drive the scientific vision for Healthcare AI systems. As an applied science leader, in this highly strategic role, you will drive the design, development, and integration of state-of-the-art AI solutions into healthcare products. The role requires tackling hard, previously unsolved, highly impactful problems while balancing rapid innovation. You should be comfortable driving decisions with incomplete information and solutions in ambiguous problem spaces.

You'll work closely with senior technical leaders within the org and across Oracle Health & AI. We're looking for scientists who can maintain high standards while moving quickly, prioritizing both rapid experimentation and responsible AI development to deliver measurable customer impact.

Qualifications and Experience

  • Demonstrated experience in designing and implementing scalable AI solutions for production.
  • Deep technical expertise in Machine Learning, Deep Learning and Generative AI.
  • Practical experience with the latest technologies in LLM and generative AI
  • Hands-on experience with emerging LLM frameworks and Agentic AI.
  • Proven experience in designing data collection and systematic evaluation necessary for developing and maintaining production AI systems.
  • Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems, and bringing them into production.
  • Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences.
  • Experience leading and mentoring teams of scientists and engineers

Preferred Qualifications

  • Knowledge of healthcare and experience delivering healthcare AI models are a significant plus.
  • Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus.

Education

  • PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a focus in Machin Learning and Deep Learning with 8+ years relevant experience is preferred but not a must
  • Masters or Bachelor’s in related field with 10+ years relevant experience
Responsibilities
  • Collaborate with product leader to translate business and product requirements into AI projects.
  • Collaborate with fellow technical leaders to ensure the successful and timely delivery of AI solutions and integration of services.
  • Coordinate with multinational teams to drive projects from research POC to production.
  • Develop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning.
  • Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices.
  • Lead and mentor both junior and senior applied scientists.
  • Participate in project planning, review, and retrospective sessions.
  • Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering.
Qualifications

Disclaimer:
Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

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

US:
Hiring Range in USD from: $139,400…

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