Senior AI/ML Architect for Autonomous Network Ops

Cisco Systems; Calgary; On-site; CAD 326,000 - 413,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with Cisco matching

Parental leave

Paid time off

Job summary

Cisco Systems is seeking a Principal Machine Learning Engineer Developer to define AI-native network and security operations platforms, integrating LLMs and autonomous workflows across Cisco’s services. You will lead architectures for telemetry-driven inference and proactive remediation in complex, multi-cloud environments.

The role requires extensive AI/ML and distributed systems experience, with strong coding skills in C++, Go, Java, or Python.

Qualifications

• Bachelor's degree with 12+ years of related experience, Master's with 7+ years, or PhD with 5+ years of related experience.
• 12+ years in AI/ML, platform engineering, distributed systems, agentic applications in networking or security operations.
• Experience with programming languages in C++, Go, Java, and/or Python.

Responsibilities

• Define architectures for AI-native network and security operations platforms, spanning observability, assurance, incident intelligence, threat analysis, optimization, and automation.
• Integrate LLMs and agentic workflows with network telemetry, topology, configurations, events, alerts, logs, and operational knowledge.
• Build intelligent capabilities for anomaly detection, root-cause analysis, performance prediction, incident triage, threat investigation, and guided remediation.
• Develop network and security world models that infer operational state across devices, users, services, applications, and dependencies.

Skills

AI/ML

Distributed systems

C++

Go

Java

Python

Kubernetes

Microservices

Multi-cloud

Education

Bachelor's degree

Master's degree

PhD

Job description

Cisco Systems is seeking a Principal Machine Learning Engineer Developer to define AI-native network and security operations platforms, integrating LLMs and autonomous workflows across Cisco’s services. You will lead architectures for telemetry-driven inference and proactive remediation in complex, multi-cloud environments.

The role requires extensive AI/ML and distributed systems experience, with strong coding skills in C++, Go, Java, or Python.