Relevance Engineer – Enterprise Search & AI Hybrid

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

$119K-$161K 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

U.S. benchmark only; posted salary is not compared across countries or currencies.

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

Work mode

Hybrid From the posting source checked Jun 20, 2026

In-office days

2 days 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

Apr 13, 2026 From the posting source checked Jun 20, 2026

Where they hire

State eligibility is not yet verified.

About this role

Relevance Engineer – Enterprise Search & AI Hybrid 3 Locations The application window is expected to close on: 04/13/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . This position is hybrid. Meet the Team Join Cisco's Enterprise Search team, responsible for powering intelligent knowledge discovery across the company. Our mission is to deliver highly relevant, scalable, and AI-enhanced search experiences that help employees and customers quickly find the information they need. We combine deep expertise in search infrastructure, ranking science, and distributed systems with modern Generative AI capabilities to transform traditional information retrieval into intelligent, context-aware discovery. We are a collaborative team of search engineers, data scientists, and AI practitioners who value experimentation, measurable impact, and technical excellence. What makes this team exciting is the opportunity to shape the future of enterprise search by integrating traditional information retrieval with cutting-edge AI and Retrieval-Augmented Generation (RAG) and agentic frameworks at scale. Your Impact Architect and optimize hybrid retrieval systems leveraging Elasticsearch, semantic embeddings, and re-ranking models to improve top-k relevance, latency, and downstream Generative AI response quality. Develop and tune relevance models using query analytics, behavioral signals, and experimentation frameworks to improve search outcomes. Integrate Generative AI capabilities with traditional information retrieval systems to create intelligent, context-aware search experiences. Implement and optimize Retrieval-Augmented Generation (RAG) pipelines that combine structured and unstructured enterprise data sources. Partner with AI engineers, platform teams, and product stakeholders to define measurable improvements in

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