AI Researcher Hybrid

The application window is expected to close on: 07/06/2026

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Meet the Team

Join Cisco's Enterprise AI team, the core group enabling Generative AI powered experiences across Cisco. Our mission is to build secure, scalable AI platforms that empower teams to safely develop, deploy, and operationalize AI-powered solutions. We operate at the intersection of applied AI, cloud infrastructure and security
-partnering across engineering, security, compliance, and product teams to bring trusted AI to life at enterprise scale.

We are a fast-growing, highly collaborative team of platform engineers, AI engineers, and data scientists who value technical depth, ownership, and pragmatic execution. What makes this team exciting is the opportunity to define how secure Generative AI is built and governed inside a global technology leader.

Your Impact

Plans, conducts, analyzes, and shares research that advances the field of AI, as it relates to networking, security, programming, human-computer interaction, or other strategic areas in computer science. Utilizes expertise in AI and research methodologies to develop research plans, build models, run experiments, and provide models and solutions to relevant teams. Serves as research strategy liaison to engineers and product managers and works collaboratively with product management, engineering, and design teams to identify business and AI research goals.

Summarizes and communicates results to all relevant partners and stakeholders to influence decisions.

Core Responsibilities

1. Research Strategy and Execution

* Lead and execute end-to-end AI research initiatives, from long-term planning and proposal development to the design and implementation of experiments and prototypes.

* Define and manage research roadmaps, ensuring alignment with business objectives and project complexity.

2. AI Technical Development and Innovation

* Utilize advanced AI tools, models, and data structures to build, train, and iterate on solutions.

* Identify and evaluate emerging AI technologies and methodologies to optimize research processes and solve novel business problems.

* Apply rigorous ethical standards to all research approaches and technical deployments.

3. Data Synthesis and Strategic Insights

* Synthesize complex data across multiple studies and customer journeys to uncover actionable themes and insights.

* Conduct meta-analyses to identify broader connections, providing data-driven recommendations that directly influence product decisions and strategy.

4. Collaboration and Influence

* Partner with cross-functional teams to understand business challenges, develop hypotheses, and manage risk.

* Lead collaboration sessions and communicate research outcomes through structured presentations, scientific papers, and patent filings.

5. Mentorship and Knowledge Sharing

* Serve as a subject matter expert, mentoring peers and interns while providing guidance to less-experienced colleagues.

* Represent Cisco by sharing research perspectives and industry breakthroughs in internal forums and at top-tier AI conferences.

Minimum Qualifications

* Bachelor's and 5 years of related experience, or Masters + 4 years of related experience

* Experience designing, executing, and leading end-to-end AI research initiatives, including the development of research roadmaps and experimental prototypes

* Experience with AI/ML frameworks and experience in Python for building, training, and evaluating models

* Experience leading cross-functional projects to translate business problems into technical research goals

* Demonstrated ability to independently structure and deliver technical presentations to diverse audiences, including executive stakeholders and technical peers.

Preferred Qualifications

* Deep understanding of network protocols, cybersecurity architectures, or cloud-native infrastructure, and the ability to apply AI/ML to solve problems within these specific domains.

* Experience in designing AI-driven interfaces or conducting user-centric research to improve the usability and adoption of complex technical solutions.

* Experience in fine-tuning, evaluating, and deploying Large Language Models (LLMs) or generative architectures for enterprise-scale applications.

* Experience in MLOps pipelines (e.g., Kubeflow, MLflow) and experience deploying AI models into production environments at scale.

* Ability to proactively identify and mitigate risks associated with AI deployment, including bias, data privacy, and security vulnerabilities.

* Track record of leadership in industry research forums, including serving as a program committee member or reviewer for top-tier AI conferences.

Why Cisco?

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 humans and technology work together across the…