Principal AI/LLM Agent Architect

Oracle

Confirmed live yesterday High trust

Quick summary

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

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $223k
This role $174k
$77k most similar roles pay here $284k

This role pays less than 83% of similar roles. Most pay $191,442–$254,750 — the shaded band above. At the midpoint, this role pays about $174k versus about $223k for comparable roles.

Based on 239 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 781 open roles on FindRole.

Listed pay typically runs $102,300–$209,500 across 713 roles with salary data.

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At a glance

TL;DR · Principal AI/LLM Agent Architect

As a Principal AI/LLM Agent Architect within the Oracle Health team, you will serve as a founding technical leader to establish the foundation for production AI agents and LLM-enabled workflow automation. You will own the end-to-end architecture for agent-based systems that integrate with enterprise tools and data in secure, scalable ways. Your daily responsibilities include defining reference architectures for orchestration, tool calling, retrieval, grounding, memory, and evaluation while establishing standards for authentication, audit logging, and runtime controls. You will manage model selection, latency tradeoffs, and reliability designs to move beyond one-off prototypes toward robust systems. The role requires expertise in distributed systems architecture, RAG patterns, and production software engineering. You will also lead hiring efforts and mentor a multidisciplinary team while collaborating with leadership to shape the technical roadmap for semantic intelligence across analytics platforms.

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 relevant experience.
  • Must hold a security clearance.
  • Proficiency in English reading, writing, and speaking is required.
  • Expertise in AI agent architecture and distributed systems architecture.
  • Experience in LLM application design, RAG, and grounding patterns.
  • Proven ability to lead technical programs, mentor others, and influence across disciplines.
  • Experience interviewing and hiring for technical teams.
  • Ability to communicate complex technical concepts to non-AI leaders and cross-functional stakeholders.

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