Senior AI Architect & Generative AI Leader

Cisco Systems; Seattle (WA); Hybrid; USD 343,000 - 433,000; Full time

Job summary

Cisco Systems in Seattle is seeking a Distinguished Engineer with outstanding leadership in AI/ML to drive high-priority AI initiatives across our product portfolio. You will partner with ML Scientists, ML Engineers and PMs to guide architecture and delivery of AI/ML capabilities.

You will set technical vision, shape roadmaps, mentor teams, and ensure timely production deployment of large-scale AI models while balancing risk and business impact in a hybrid on-site/remote work model.

Qualifications

• Deep learning, time series modeling, NLP, and unsupervised learning expertise.
• Strong background in Generative AI and large language models.
• Proven leadership in AI product development at scale.
• Experience deploying large-scale models in production systems.
• Experience with GPU, multi-GPU, distributed training.
• Strong partnerships and collaboration across teams.

Responsibilities

• Define and evolve the AI/ML technical vision across the product portfolio.
• Drive the AI technology roadmap with modern innovations.
• Promote awareness and alignment for AI rollout across leadership.
• Mentor cross-functional teams and foster engineering excellence.
• Collaborate to ensure timely delivery of AI/ML models and integrations.
• Identify and mitigate risks at business-technology intersections.

Skills

AI/ML leadership

Generative AI

LLM knowledge

Production ML systems

Education

PhD + 10 years

Masters + 14 years

Bachelors + 17 years

Job description

Cisco Systems in Seattle is seeking a Distinguished Engineer with outstanding leadership in AI/ML to drive high-priority AI initiatives across our product portfolio. You will partner with ML Scientists, ML Engineers and PMs to guide architecture and delivery of AI/ML capabilities.

You will set technical vision, shape roadmaps, mentor teams, and ensure timely production deployment of large-scale AI models while balancing risk and business impact in a hybrid on-site/remote work model.