Senior AI Architect & Strategy Leader

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

Job summary

Cisco Systems is hiring a Distinguished Engineer to lead AI/ML initiatives across its product portfolio. You will partner with ML scientists, engineers, and product managers, shaping the technology roadmap and guiding cross-functional teams throughout the development life cycle.

The role demands deep expertise in AI/ML, including generative AI and LLMs, with a track record of production deployment and mentorship of junior researchers. Hybrid work enables collaboration both on-site and remotely.

Qualifications

• Minimum qualifications include strong AI/ML background with deep learning, NLP and generative AI.
• Bachelor's degree with extensive related experience or advanced degrees as specified.
• Experience leading AI product development at scale and delivering production models.

Responsibilities

• Define and evolve the technical vision and strategy for AI/ML capabilities across Cisco product portfolio.
• Shape and drive the AI technology roadmap with modern innovations to deliver AI solutions.
• Collaborate with leadership to accelerate rollout and adoption of AI technologies.
• Provide technical guidance and mentorship to cross-functional teams.
• Ensure timely delivery of AI/ML models and service integration.
• Identify and mitigate risks at the intersection of business and engineering.

Skills

AI/ML expertise

Deep learning

Time series modeling

Natural language processing

Generative AI

Leadership

Mentorship

Education

Bachelor's degree

Master's degree

PhD

Job description

Cisco Systems is hiring a Distinguished Engineer to lead AI/ML initiatives across its product portfolio. You will partner with ML scientists, engineers, and product managers, shaping the technology roadmap and guiding cross-functional teams throughout the development life cycle.

The role demands deep expertise in AI/ML, including generative AI and LLMs, with a track record of production deployment and mentorship of junior researchers. Hybrid work enables collaboration both on-site and remotely.