AI Operations Engineering Technical Leader

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 ) principles and tools such as Terraform, Helm, and GitOps 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's degree in Comp Science, Engineering (or related field /industry) 8 years of DevOps experience, Masters 6 years of related experience, or PhD 3 years 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 , TensorFlow , etc. ) Strong understanding of ML lifecycle management and model versioning Preferred Qualifications: 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. Deep expertise in CI/CD tooling and practices, including hands-on experience with systems like Jenkins, GitLab, ArgoCD , or similar. Strong proficiency in 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 $212,3 ... (truncated, view full listing at source)