AI Operations Engineering Technical Leader

The application window is expected to close on: 06/29/2026

** 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 Dev Ops team. In this critical role, you will 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 Dev Ops engineers on creating secure and resilient ML pipelines.

** Key Responsibilities*
* + Design, build, and manage robust ML pipelines for training, validation, and deployment

+ Build andmaintainscalable infrastructure using Kubeflowfor ML experiments and inference in multiple public clouds

+ Implement CI/CDin Git Hubfor 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) principles and tools such as Terraform, Helm, andGit Ops frameworks

+ Monitor models in production for performance degradation, drift, and fairness

+ Participate in on-call rotation for ML Operations

+ Work closely with data scientists, engineers, and product managers to understand requirements and integrate models into applications

** Minimum Qualifications*
* + Bachelor'sdegree in Comp Science, Engineering (or related field /industry) +8years of Dev Ops experience, Masters +6years of related experience, or PhD +3years of related experience.

+ Understanding of CI/CD pipelines and automation tools.

+ Knowledge of cloud platforms, minimally AWS with Azure and GCP as a bonus

+ Proficiency in Python and familiarity with ML libraries (e.g., Scikit-learn,PyTorch, Tensor Flow, etc.)

+ Strong understanding of ML lifecycle management and model versioning

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* Preferred Qualifications:

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* + Experience deploying large language models (LLMs) or generative AI systems

+ Familiarity with feature stores, vector databases, or data observability platforms

+ Excellent communication, collaboration, and mentoring skills.

+ Deepexpertisein CI/CD tooling and practices, including hands-on experience with systems like Jenkins, Git Lab,ArgoCD, or similar.

+ Strongproficiencyin Kubernetes, Docker, and cloud-native patterns in AWS, Azure, or GCP.

** Why Cisco?*
* At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

We are Cisco, and our power starts with you.

** Message to applicants applying to work in the U.S. and/or Canada:*
* The starting salary range posted for this position is $ to $ and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the…