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Principal AI/LLM Agent Architect

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United States

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Be the First to Apply

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• Job Identification
  331081
• Job Category
  Product Development
• Posting Date
  04/14/2026, 03:59 PM
• Role
  Individual Contributor
• Job Type
  Regular Employee
• Does this position require a security clearance?
  Yes
• Years
  10+ years
• Applicants
  Less than 10 applicants
• Applicants are required to read, write, and speak the following languages
  English

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Job Description

Oracle Health is seeking a Principal AI Agent Architect to define and build the technical foundation for a new AI engineering capability focused on production AI agents, LLM-enabled workflow automation, semantic intelligence, and governed AI integration across analytics and data platforms.

This role will own the end-to-end architecture for agent-based systems that interact with enterprise tools and data in safe, scalable, and observable ways. The architect will define patterns for agent orchestration, tool and function calling, retrieval and grounding, evaluation, model selection, security, auditability, and runtime controls. This person will also establish reusable platform standards that enable multiple AI use cases to be delivered efficiently and consistently.

In addition to deep technical architecture responsibilities, this role is expected to serve as a founding technical leader for the team. This individual will act as the senior technical lead for the AI team, partnering directly with leadership to shape priorities, hiring, team structure, and roadmap sequencing. The ideal candidate brings both strong hands-on architectural depth and the maturity to help build and guide a multidisciplinary AI team in an environment where domain experts provide business and data context, while this team provides the AI expertise.

This role is critical to ensuring Oracle Health’s AI capabilities are built on strong technical foundations rather than one-off prototypes, and that the team can be self-sufficient in AI engineering, LLM systems, and agent-based development from the start.

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Responsibilities

• Define the reference architecture for AI agents, LLM orchestration, tool calling, retrieval, grounding, memory, and evaluation.
• Design secure integration patterns between AI systems and enterprise platforms including databases, metadata systems, analytics tools, telemetry systems, and developer workflows.
• Establish standards for safe tool execution, least-privilege access, authentication, secrets handling, audit logging, and production controls.
• Build reusable platform capabilities and technical patterns that accelerate the delivery of multiple AI agents and workflow automations.
• Guide model selection, prompt and tool architecture, latency and cost tradeoffs, fallback patterns, and reliability design.
• Partner directly with leadership on priorities, tradeoffs, roadmap sequencing, and hiring plans for the new AI team.
• Help recruit, interview, and assess candidates across multiple disciplines including applied AI engineering, semantic engineering, and platform reliability.
• Provide technical leadership and mentorship across architecture, coding patterns, delivery standards, and production quality.
• Operate effectively in an ambiguous, early-stage team environment and help shape the team’s technical operating model.
• Serve as a senior technical voice with both AI specialists and non-AI business and engineering leaders.
• Define release standards, technical review criteria, and evaluation frameworks for AI-enabled features.

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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: $96,800 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:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC5

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Required Skills

• AI agent architecture
• Distributed systems architecture
• Experience interviewing and helping hire technical teams
• Experience leading small teams or technical programs
• LLM application and platform design
• Mentorship and technical influence across disciplines
• Production software engineering
• RAG and grounding patterns
• Strong communication with non-AI leaders and cross-functional stakeholders
• Technical leadership beyond individual contribution

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