Principal ML Architect, Agentic Networking

Cisco Systems, Inc.; San Jose (CA); Hybrid; USD 343,000 - 433,000; Full time

Benefits offered by this job

Hybrid work model

Competitive Benefits

Career growth

Job summary

Cisco Systems, Inc. in San Jose is seeking a Distinguished Machine Learning Engineer to lead the architecture for AI-driven agentic operations across Cisco Cloud Control and Canvas.

You will bridge cutting-edge AI research with large-scale engineering, shaping secure, scalable AI services for production environments. You will mentor senior leaders, define multi-year strategies for agentic systems, and drive standards like MCP.

Qualifications

• 17+ years of software engineering with CS degree.
• 5+ years at Principal level influencing multiple product orgs.
• 2+ years deploying LLM-based systems at high scale.
• Production-grade multi-agent system experience.

Responsibilities

• Define multi-year technical strategies for agentic systems.
• Architect systems with hybrid and graph-based retrieval.
• Drive security, observability, and compliance in AI services.
• Mentor senior leaders and represent Cisco at industry forums.
• Negotiate architectural decisions with senior executives.

Skills

Go

Python

Rust

Distributed systems

AI governance

Education

Bachelor's degree in CS

Master's degree in CS

PhD in CS

Tools

LangGraph

Temporal

MCP

Job description

Cisco Systems, Inc. in San Jose is seeking a Distinguished Machine Learning Engineer to lead the architecture for AI-driven agentic operations across Cisco Cloud Control and Canvas.

You will bridge cutting-edge AI research with large-scale engineering, shaping secure, scalable AI services for production environments. You will mentor senior leaders, define multi-year strategies for agentic systems, and drive standards like MCP.