AI Operations Engineering Technical Leader

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

$212K-$276K 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)

$61,842 U.S. median for this role

Projected growth (BLS Employment Projections)

+1.9% - Slower

295% above the BLS role benchmark for operations aggregate.

Posted salary is far from this role benchmark; treat it as low confidence.

Matched to SOC 11-1021 - Operations aggregate by role bucket.

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

Role

Role function

Operations 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

Jun 1, 2026 From the posting source checked Jun 20, 2026

Where they hire

State eligibility is not yet verified.

About this role

AI Operations Engineering Technical Leader Milpitas, California, US The application window is expected to close on: 06/01/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Meet the Team The Cisco AI Software & Platform Group incubates and delivers Generative AI based solutions to reinvent Cisco's existing Products and how customers interact with them. Our Group is also introducing new offerings that help customers roll out Generative AI at scale while doing so responsibly. Ultimately, we are doing so through internal platforms that unlock the benefits of this technology for Cisco teams and partners across our Security, Enterprise Networking, Collaboration, and Splunk portfolios. Your Impact Cisco is looking for a highly experienced and innovative ML Operations Engineer to join our global DevOps team. In this critical role, you wil l drive the production readiness, deployment, and maintenance of scalable machine learning systems . You will work closely with a cross -functional team of data scientists, software development engineers, information security professionals, and DevOps engineers on creating secure and resilient ML pipelines. Key Responsibilities Design, build, and manage robust ML pipelines for training, validation, and deployment Build and maintain scalable infrastructure using Kubeflow for ML experiments and inference in multiple public cloud s Implement CI/CD in GitHub for ML systems ensuring reproducibility and traceability Experience driving the implementation LLM evaluation and observability solutions Advocate automation in every layer of the infrastructure stack using Infrastructure as Code ( IaC )

Read the full description at cisco.wd5.myworkdayjobs.com. FewerJobs shows a preview and links to the original posting.