Director, AI Engineering

The application window is expected to close on: 09/12/2026 Location: San Jose (Onsite) No relocation will be provided Meet the Team The CX AI Incubation and Agent team builds breakthrough solutions across delivery intelligence, network automation, and edge computing for Cisco Customer Experience (CX) and our global customers. We partner across engineering, product, and design to develop scalable, responsible platforms leveraging Generative and Agentic AI. Join an inclusive, high-impact team pushing the boundaries of AI innovation to solve critical enterprise challenges.

As an engineering leader in Cisco CX, you will define and execute the technical strategy for AI solutions that transform customer adoption and renewals. You will lead high-performing engineering teams from concept to production, operationalizing autonomous agents, context engineering, and multi-agent orchestration platforms. In this role, you will combine deep technical architecture with business strategy to deliver production-grade AI systems at scale. What You’ll Do Drive engineering Delivery:   Spearhead end-to-end development of agentic AI solutions across the CX customer adoption and renewals portfolio. Architecture and platform:   Lead architecture and build core platform to host Agentic solutions. Lead Engineering Teams:   Manage and mentor cross-functional teams of software, ML, and data engineers and technical leaders through full lifecycle delivery. Standardize Tech Stack:   Evaluate, select, and standardize tools, frameworks, and foundation model infrastructure across the portfolio. Align Cross-Functionally:   Partner with product management and business stakeholders to translate strategic requirements into production AI applications. Set Engineering Standards:   Establish best practices for responsible AI, context engineering, and observable agent deployment.

Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field with 15+ years of software engineering experience (or Master’s degree with 12+ years). 5+ years of engineering management experience leading software and ML engineering teams. Experience programming in Python, Java, C++, or modern object-oriented languages. Experience building and scaling data-driven AI/ML systems, AI-native applications, and AI agents, including agent harnesses and production-grade agentic architectures. Experience building and deploying systems utilizing LLMs, NLP, Generative AI, or Agentic AI architectures.

Advanced degree (Master’s or PhD) in Artificial Intelligence, Computer Science, or Machine Learning. Experience architecting multi-agent orchestration pipelines and context engineering systems. Experience applying AI solutions to enterprise customer success, adoption, or renewal workflows. Proven track record of technical leadership and cross-functional execution in fast-paced environments. Strong communication skills with the ability to engage technical teams and executive business leaders. 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 physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.  We are Cisco, and our power starts with you.  Message to applicants applying to work in the U.S. and/or Canada: