Principal AI/LLM Agent Architect

Oracle

Confirmed live today High trust

Quick summary

Work type
On-site
Location
—
Salary
$96,800–$251,600 / yr
Posted
103 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $225k
This role $174k
$75k $296k
below market most similar roles pay here above market

This role pays less than 82% of similar roles. Most pay $191,400–$259,125 — the blue band above. At the midpoint, this role pays about $174k versus about $225k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 955 open roles on FindRole.

Listed pay typically runs $102,300–$234,600 across 790 roles with salary data.

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At a glance

TL;DR · Principal AI/LLM Agent Architect

The Principal AI/LLM Agent Architect joins Oracle Health to define and build the technical foundation for a new AI engineering capability. This role focuses on production AI agents, LLM-enabled workflow automation, semantic intelligence, and governed AI integration across analytics and data platforms. The architect will own the end-to-end architecture for agent-based systems, defining patterns for orchestration, tool calling, retrieval, grounding, evaluation, and security. Key responsibilities include establishing reusable platform standards, designing secure integration patterns with databases and telemetry systems, and guiding model selection and latency tradeoffs. The candidate must possess expertise in distributed systems architecture, RAG patterns, and production software engineering. This role serves as a founding technical leader, shaping the team structure, roadmap sequencing, and hiring plans for the new AI engineering group.

What you'll do

  • Define the reference architecture for AI agents, LLM orchestration, tool calling, and retrieval systems.
  • Design secure integration patterns between AI systems and enterprise platforms like databases and telemetry systems.
  • Establish standards for safe tool execution, least-privilege access, audit logging, and production controls.
  • Build reusable platform capabilities to accelerate the delivery of multiple AI agents and workflow automations.
  • Guide model selection, prompt engineering, latency/cost tradeoffs, and reliability design.
  • Partner with leadership to shape roadmap sequencing, hiring plans, and team structure.
  • Recruit, interview, and assess candidates for roles in AI engineering and platform reliability.
  • Provide technical mentorship across coding patterns, delivery standards, and production quality.

What we're looking for

  • Must possess 10+ years of experience.
  • Active security clearance is required.
  • Proficiency in AI agent architecture and distributed systems architecture.
  • Experience in LLM application and platform design, including RAG and grounding patterns.
  • Expertise in production software engineering and technical leadership beyond individual contribution.
  • Experience leading small teams or technical programs.
  • Experience interviewing and helping hire technical teams.
  • Ability to communicate effectively with non-AI leaders and cross-functional stakeholders.

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