Distinguished AI Engineer (Hybrid)

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.

- 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.

- 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.

The starting salary range posted for this position is $342,700.00 to $433,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.