Distinguished AI Engineer; Hybrid

The application window is expected to close on: 08/28/2026

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received
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This position is a hybrid role, requiring the employee to work both onsite and remotely. Candidates should be comfortable with a flexible work arrangement that balances in-office collaboration and remote work. Specific onsite days and remote days will be coordinated with the team and manager.

Meet the Team

Artificial Intelligence is a foundational pillar in the product strategy for Splunk and Cisco, and we are building best-in-class AI capabilities into our platform, security and observability products to help our customers to accelerate their journey to digital resilience. We are looking for a Distinguished Engineer with outstanding technical leadership in the AI/ML area to drive our high-priority AI initiatives with a clear technology roadmap to deliver innovations across our product portfolio.

This role will partner closely with ML Scientists, ML Engineers and Product Managers, and provide technical guidance to the cross-functional teams throughout the product development life cycle, from critical thinking and architecture design to implementation, execution and holding the teams accountable for delivery goals.

Your Impact

• Define and evolve the technical vision and strategy for AI/ML capabilities across our product portfolio!
• Shape and drive our AI technology roadmap with modern innovations to deliver best-in-class AI solutions to our customers!
• Work with the leadership team to build awareness and alignment to accelerate the rollout and adoption of AI technologies.
• Effectively connect with and influence key collaborators across the enterprise, at all levels of the organization.
• Provide technical guidance and mentorship to the cross-functional team and promote a culture of engineering excellence.
• Collaborate with fellow technical leaders to ensure the successful and timely delivery of AI/ML models and service integration.
• Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering.

Minimum Qualifications:

• Bachelors + 17 years of related experience, or Masters + 14 years of related experience, or PhD + 10 years of related experience
• In-depth knowledge and consistent track record in AI/ML technology, including deep learning, time series modeling, natural language processing, and unsupervised learning.
• In-depth knowledge and proven track record in Generative AI technology and Large Language Models (LLM).
• Demonstrated experience in leading impactful AI product development at scale.
• Demonstrated experience in developing large-scale, complex models and deploying them in production systems.
• Demonstrated experience in large-scale data processing and parallel computing – GPU, multi-GPU and distributed training.
• Demonstrated experience in building strong internal and external partnerships.
• Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems, and bringing them into production.
• Strong problem-solving skills and the ability to translate research insights into practical solutions that address real-world challenges.
• Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Experience in mentoring and guiding junior researchers or team members.

Preferred Qualifications:

• Experience in the Cybersecurity and/or Observability industry is preferred.

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how…