AI Operations Engineer, AI/ML, Operational tooling, AI models and AI coding tools, Build AI Agents

Posted 7 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Cloud • Information Technology • Internet of Things • Professional Services • Software
The Role
Builds and optimizes AI Operations solutions for IT processes, including incident management, root cause analysis, monitoring, anomaly detection, and infrastructure problem resolution. Develops and deploys machine learning models, AI agents, and CI/CD pipelines while integrating AI solutions with existing infrastructure. Collaborates with data science, software engineering, and operations teams to improve reliability, scalability, performance, and operational efficiency.
Summary Generated by Built In
The application window is expected to close on: 02/27/2027 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Builds Operations (AI Ops) Solutions for specific domains. Automates and optimizes IT operations processes, managing risk, incident management, and root cause analysis using artificial intelligence (AI) and machine learning (ML) techniques. AI Ops aim to reduce the time and effort needed for IT processes while increasing the precision and speed of problem-solving through optimizing the end-to-end lifecycle of artificial intelligence (AI) applications and systems. Collaborates with cross-functional teams, including data scientists, SWEs, and infrastructure/operations, to ensure the reliability, scalability, and performance of IT applications. Automates routine tasks and implements continuous integration/continuous deployment (CI/CD) pipelines to optimize AI Ops processes and workflows.
What You’ll Do:
• Optimizes AI Ops processes and workflows for efficiency and reliability, leveraging techniques like model versioning and pipeline orchestration
• Develops custom monitoring solutions tailored to specific AI workloads or deployment architectures, integrating with existing monitoring frameworks and APIs
• Consolidates and combines monitoring tools with machine learning and statistical analysis in order to identify threats and solve infrastructure problems in real time
• Implements CI/CD pipelines to automate testing, integration, and deployment of AI models
• Conceptualizes, develops, and deploys machine learning models, driving continual refinement
• Facilitates the migration, integration, and alignment of AI Ops solutions with the existing infrastructure and workflows 
• Continuously seeks ways to enhance AI Ops processes, tools, and methodologies
• Develops, analyzes, and reports on the effectiveness of AI Ops solutions in terms of KPI efficiency gains, incident reduction, and overall IT system performance
Minimum Qualifications:
• Bachelors + 7 years of related experience, or Masters + 4 years of related experience, or PhD + 1 year of related experience
Preferred Qualifications
Working experience building Operational tooling
Working experience building monitoring solutions tailored to Anomaly detection
Working experience with AI models and AI coding tools
Working experience building AI agents


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. 


Disclaimer

To ensure that we hire the best talent in the right way, we follow a strict hiring process and recently, Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will:

  • be in direct response to an application you have submitted through the company career site
  • begin with screening or an interview
  • originate from a Cisco email address, and
  • be conducted across email, phone, or WebEx

Cisco will never make a job offer without conducting an interview process or ask you for money in any way. If you have been requested to apply for a role or have received an offer from a site other than https://careers.cisco.com or cisco.wd5.myworkday.com, do not provide any personal identifying information, including your Aadhaar or other personal identifying number, birth certificate, banking information, driver's license, or passport.

If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams.


Skills Required

  • Bachelor's degree and 7 years of related experience
  • Master's degree and 4 years of related experience
  • PhD and 1 year of related experience
  • Experience building operational tooling
  • Experience building monitoring solutions for anomaly detection
  • Experience with AI models and AI coding tools
  • Experience building AI agents

Cisco Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.

  • Healthcare Strength — Health coverage is described as broad, with medical options including PPOs, high-deductible plans, and regional HMOs. Feedback suggests robust wellness and mental-health resources, with some locations offering on-site support and second medical opinions.
  • Leave & Time Off Breadth — Time off is highlighted through paid holidays, paid time off, and additional recharge days such as “Days for Me,” with generous volunteer time also mentioned. Feedback suggests these programs help support rest, volunteering, and critical life events.
  • Parental & Family Support — Parental and family support appears extensive, including paid child-bonding leave, family medical leave, and caregiving resources. Observations also point to family-planning assistance and adoption or surrogacy support in some regions.

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The Company
HQ: San Jose, CA
77,500 Employees
Year Founded: 1984

What We Do

Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time. Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.

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