Lead Applied AI Research for Enterprise Solutions

Cisco Systems, Inc.; San Jose (CA); On-site; USD 216,000 - 281,000; Full time

Job summary

Cisco Systems, Inc. is seeking a senior AI leader for its Enterprise AI team. You will bridge theoretical AI research with practical, enterprise-scale solutions across networking, security, and user interfaces.

You will define research roadmaps, mentor AI researchers, and partner with Product Management, Engineering, and Design to translate business needs into production-ready models while ensuring ethical and governance standards.

Qualifications

• Bachelor's degree in CS/AI/ML or related field with 8+ years of industry research experience.
• Experience leading or conducting advanced AI research in areas like representation learning or deep learning architectures.
• Experience applying AI techniques to enterprise challenges in networking, security, or human-computer interaction.
• Experience collaborating with cross-functional stakeholders to translate business objectives into research roadmaps.
• Experience ensuring AI research adheres to ethical standards, data privacy, and governance.

Responsibilities

• Lead and direct AI research initiatives across networking, security, and HCI.
• Define long-term research strategy aligned with enterprise goals.
• Incorporate transfer learning and generative models into research plans.
• Partner with engineering to productionize research and deploy models.
• Mentor and grow AI research talent.
• Uphold ethical AI, data governance, and regulatory compliance.

Skills

AI research leadership

Cross-functional collaboration

Ethical AI governance

Deep learning

Transfer learning

Education

Bachelor's degree in Computer Science/AI/ML

Job description

Cisco Systems, Inc. is seeking a senior AI leader for its Enterprise AI team. You will bridge theoretical AI research with practical, enterprise-scale solutions across networking, security, and user interfaces.

You will define research roadmaps, mentor AI researchers, and partner with Product Management, Engineering, and Design to translate business needs into production-ready models while ensuring ethical and governance standards.