> Markdown version of [/jobs/ext/3991704-distinguished-ai-engineer-hybrid](https://www.wearedevelopers.com/jobs/ext/3991704-distinguished-ai-engineer-hybrid). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Distinguished AI Engineer (Hybrid) - **Company:** Cisco Systems, Inc. - **Location:** Austin, TX, United States (Remote available) - **Salary:** $342,700.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Cyber Security, Distributed Computing Environment, Machine Learning, Natural Language Processing, Software Product Management, Large Language Models, Deep Learning, Parallel Computation, Generative AI, Splunk, Cisco, Unsupervised Learning - **Published:** October 28, 2026 - **Apply:** https://www.austinjobsite.com/job.asp?id=3477563908&tx=UT5955TTD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 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., * Experience in the Cybersecurity and/or Observability industry is preferred. ## Description 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.