Responsibilities
- Define and evolve the technical vision and strategy for AI/ML capabilities across our product portfolio.
- Shape and drive our AI technology roadmap with cutting-edge innovations to deliver best-in-class AI solutions to our customers.
- Work with the senior leadership team to build awareness and alignment to accelerate the rollout and adoption of AI technologies.
- Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization.
- Provide technical guidance and mentorship to the multi-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.
Requirements
- Masters in Computer Science, or related quantitative field, plus 12+ years of industry research experience.
- Prior experience in at least one of the following areas: deep learning, reinforcement learning, unsupervised learning, natural language processing, time series modeling.
- Proven track record in Generative AI technology including Large Language Models (LLM), Retrieval-Augmented Generation (RAG), Fine Tuning, and Agentic AI.
- Experience working with large-scale production systems across model training and inference.
Nice to Have
- PhD in Computer Science, or related quantitative field
- Deep NLP & Domain-Adapted LLMs: Background in building and adapting large-scale language models (e.g., T5, BERT, LLaMA, GPTs) for specialized domains including structured/unstructured logs, text, and event sequences.
- Multi-Modal AI Modeling: Strong background fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights.
- Large-Scale Training & Optimization: Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy.
- Strong Research Track Record – Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state-of-the-art methods and real-world applications.
- 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.
Benefits
- Medical, dental and vision insurance
- 401(k) plan with a Cisco matching contribution
- Paid parental leave
- Short and long-term disability coverage
- Basic life insurance
- 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
- 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco
- Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees
- Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)
- 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next
- Additional paid time away may be requested to deal with critical or emergency issues for family members
- Optional 10 paid days per full calendar year to volunteer
- For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.
- Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
Additional Information
- Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.
