Overview In this role you will define and execute the technical strategy for AI-enabled customer experience solutions within Cisco CX. You will lead cross-functional engineering teams from concept to production, focusing on autonomous agents, context engineering, and multi-agent orchestration. You will build a scalable platform for agentic AI and ensure production-grade delivery with responsible AI practices. This is a high-impact opportunity to shape AI-driven adoption and renewals for enterprise customers. You will work closely with product and business partners to translate strategy into deployable AI applications.
Compensation / Benefits- Medical, dental and vision insurance
- 401(k) with company match
- Paid parental leave
- Paid time off and holidays
- Annual bonus programs
- Restricted stock units (RSUs)
Responsibilities- Spearhead end-to-end development of agentic AI solutions for CX adoption and renewals
- Architect and build core platform to host Agentic solutions
- Mentor and manage cross-functional teams of software, ML, and data engineers
- Evaluate and standardize tools, frameworks, and foundation model infrastructure
- Collaborate with product management and stakeholders to translate requirements into production AI applications
- Establish best practices for responsible AI, context engineering, and observable agent deployment
Key requirements- Bachelor's degree in CS, Math, Statistics, or related field; 15+ years of software engineering experience (or Master's with 12+ years)
- 5+ years of engineering management experience leading software and ML teams
- Proficiency in Python, Java, C++, or other OO languages
- Experience building and scaling data-driven AI/ML systems, AI-native apps, and AI agents (agent harnesses, production-grade architectures)
- Experience deploying systems with LLMs, NLP, Generative AI, or Agentic AI architectures
- Strong communication skills
- Cross-functional leadership
- Executive-level engagement with stakeholders
- Python
- Java
- C++
