AI Agent Software Engineer: Content Automation

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified checked Jun 13, 2026

Salary

$131K-$169K From the posting source checked Jun 20, 2026

401(k) match

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

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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

29% 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 Agent Software Engineer: Content Automation RTP, North Carolina, USA Office (NOCAROLINA) About this position The Information Engineering team at NetApp creates and maintains technical documentation published on docs.netapp.com, the company's most visited web site. Our team of strategic thinkers and creative problem-solvers owns NetApp's technical documentation infrastructure as well as pipelines that integrate technical content into products, sites, and AI tools. We are an AI-forward organization and expect team members to leverage responsible AI to improve customer outcomes and create internal efficiencies. Candidates should be prepared to discuss and demonstrate how they have used AI tools or models in their past roles to improve productivity, quality, and innovation, including specific examples, quantified results, and the governance practices they followed. What you'll do Partner with content standards leads, UX designers, engineers, product managers, and data scientists to identify high-value opportunities for AI in the technical content lifecycle. Design, build, launch and iterate agent-driven automated workflows that gather, normalize, and optimize source content for publishing and downstream reuse. Build and operationalize AI-assisted semantic enrichment pipelines (ontology, metadata, and taxonomy tagging) to improve content findability, consistency, and performance. Develop agents and checks that enforce content standards and ensure knowledge is optimized for integration in AI solutions. Implement measurement and reporting systems to track adherence to legal, brand, style, inclusivity, accessibility, accuracy, freshness, and structural standards. Define governance patterns (guardrails, evaluations, and human-in-the-loop review triggers) to ensure responsible, reliable AI outcomes. Use signals (quality metrics, evaluation results, stakeholder feedback) to continuously improve agent

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