AI Ops Engineer

Oracle

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Nashville, TN
Salary
$114,600–$234,600 / yr
Posted
80 days ago
Freshness
Confirmed live today

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $178k
This role $175k
$100k $249k
below market most similar roles pay here above market

This role pays more than 53% of similar roles. Most pay $142,550–$214,000 — the blue band above. At the midpoint, this role pays about $175k versus about $178k 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 · AI Ops Engineer

JOB TITLE: AI Ops Engineer The AI Ops Engineer joins the AI Acceleration product research initiative to build and scale practical AI capabilities for internal business units. This role focuses on developing state-aware automation, scripts, and internal tools that move complex workflows forward while preserving context and supporting clear handoffs. You will turn standard operating procedures into usable documentation and AI-enabled designs, prototyping use cases for everyday tasks. Key responsibilities include working fluently with LLMs, prompts, system instructions, evaluations, and retrieval configurations to validate quality and reliability. Required skills include a degree in a related field, strong foundations in data structures, algorithms, and linear algebra, and knowledge of ML applications. Preferred experience includes Git, cloud platforms, REST APIs, GPU-based computation, directed acyclic graph workflows, and development operations.

What you'll do

  • Build state-aware AI automations, scripts, and internal tools that preserve context and support clear handoffs.
  • Develop LLM artifacts including prompts, system instructions, retrieval configurations, and knowledge sources while validating quality.
  • Translate standard operating procedures into usable documentation and AI-enabled workflow designs.
  • Consult with business units to identify credible AI use cases and guide adoption through data-driven insights.
  • Create repeatable patterns for LLM-enabled workflows and responsible AI adoption across the organization.
  • Transform internal business needs into structured, testable solutions that improve operational efficiency.
  • Prototype practical AI use cases to help teams complete everyday tasks more effectively.

What we're looking for

  • Degree in AI, machine learning, computer science, data science, philosophy, or a related discipline, or equivalent practical experience.
  • Strong programming and computer science foundations including data structures, algorithms, and dynamic programming.
  • Working knowledge of ML and LLM applications, linear algebra, matrices and tensors, visualization, numerical computation, and model evaluation.
  • Ability to structure ambiguous work, manage priorities, communicate clearly, and apply sound judgment when using AI tools.
  • Experience with Git, cloud platforms, databases, REST APIs, MCPs, command-line tools, and LLM application development (preferred).
  • Experience with GPU-based computation, directed acyclic graph workflows, development operations, or AI workflow automation (preferred).
  • Experience with repository and artifact management, documentation systems, agile delivery, or high-volume work management (preferred).
  • Experience translating processes into handoffs, supporting technology adoption, or advising internal business stakeholders (preferred).

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