Principal AI/ ML Ops Engineer

Oracle

Quick summary

Work type
On-site
Location
Austin, TX
Salary
$99,600–$234,600 / yr
Posted
6 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k
This role $167k
$82k most similar roles pay here $264k

This role pays less than 76% of similar roles. Most pay $168,262–$246,150 — the shaded band above. At the midpoint, this role pays about $167k versus about $207k 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 755 open roles on FindRole.

Listed pay typically runs $97,500–$209,500 across 568 roles with salary data.

Most-posted roles

View all roles at Oracle

At a glance

TL;DR · Principal AI/ ML Ops Engineer

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As a Principal AI/ML Ops Engineer, you will join our dynamic product development team as an individual contributor with 6 to 10+ years of experience, focusing on transforming timely reimbursement processes. Your primary responsibilities include building large language model and agent-based solutions for business use cases such as revenue leakage prevention and automation, while owning end-to-end feature development from data ingestion through insights generation. You will lead across the full stack, translating ambiguous requirements into actionable technical designs and driving the deployment of features spanning multiple components. The ideal candidate possesses strong SQL knowledge, experience in SaaS/IaaS project management, and a keen understanding of how to map technology choices to specific business contexts. Preferred skills include proficiency in ML and AI technologies, as well as excellent product sense and business acumen.

Skills

SQL Python Kubernetes Docker AWS CI/CD LLM Agent-based solutions PostgreSQL MLOps Git Jenkins Prometheus Grafana

What you'll do

  • Lead the development of ML and AI solutions for business use cases like revenue leakage and automation.
  • Own end-to-end features from data ingestion to transformation and insights delivery.
  • Translate ambiguous requirements into actionable technical designs for multi-component systems.
  • Design and implement LLM/agent-based solutions to address specific business challenges.
  • Ensure timely deployment and characterization of developed features across multiple components.

What we're looking for

  • 6+ years of experience in AI/ML operations and system design for SaaS/IaaS projects
  • Proven ability to translate ambiguous requirements into clear technical specifications
  • Strong ownership over the development, characterization, and deployment of complex features
  • Expertise in SQL and full-stack technology leadership with a focus on ML and AI solutions
  • Experience in building LLM/agent-based systems for business use cases like revenue leakage and automation

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