AI Platform Reliability Engineer

Benefits

Parental leave

0 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

14 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Offered From the posting source checked Jun 20, 2026
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

$79K-$210K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

24% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

AI Platform Reliability Engineer United States, US Oracle Health is seeking an AI Platform Reliability Engineer to ensure our AI agent platform and AI-enabled analytics workflows are reliable, observable, measurable, and safe in production. This role will focus on the operational foundation for production AI systems, including monitoring, tracing, evaluation in production, rollback controls, alerting, versioning, runtime diagnostics, and quality safeguards. The engineer will also support data reliability use cases such as detection of stopped processing, data gaps, freshness issues, schema drift, and anomaly conditions that affect downstream analytics and reporting. The ideal candidate brings strong engineering discipline in observability, release safety, and operational tooling, with the ability to apply those skills to modern AI and agent-based systems. This role is critical to maintaining trust in AI outputs and ensuring new capabilities can scale safely across Oracle Health. Build and maintain observability, logging, tracing, and monitoring for AI agents, agent tools, and AI-enabled analytics workflows. Implement release, rollout, rollback, and versioning controls for prompts, models, tools, and configurations. Design and support production evaluation practices to detect regressions, silent failures, quality drift, and performance issues. Contribute to data monitoring and reliability workflows, including detection of stopped processing, data gaps, freshness issues, schema drift, and anomalies. Support incident response, triage, root-cause analysis, and operational reporting for AI and data reliability issues. Partner with architects and AI engineers to ensure systems are production-ready, measurable, and maintainable. Implement latency, throughput, and cost monitoring controls for AI-enabled systems. Help enforce operational safeguards, auditability, and controlled

Read the full description at careers.oracle.com. FewerJobs shows a preview and links to the original posting.