• Design, develop, and maintain LLM-powered applications and autonomous agents • Build agentic workflows and orchestration layers using LangGraph or similar frameworks • Implement and refine prompt engineering strategies for reliability, safety, and performance • Integrate and evaluate modern LLM models across providers • Develop agent observability using LangSmith, LangFuse, or equivalent tools • Build and maintain MCP (Model Context Protocol) Server components • Collaborate with cross-functional teams and participate in Agile ceremonies • Develop backend services using AWS-native serverless and compute offerings • Perform peer reviews and contribute to engineering standards and best practices

• Define and drive the strategy for internal engineering platforms and AI-driven productivity tools • Own the end-to-end product lifecycle for developer productivity (CI/CD, build tooling, test infrastructure) and AI integrations (agentic assistants, model context protocols) • Partner with engineering leads and platform teams to align priorities, unblock delivery, and translate user feedback into actionable, measurable requirements • Lead the strategic direction for AI tooling, including build-vs-buy analysis, migration planning, and the creation of a skills/prompts marketplace to enable repeatable workflows • Monitor engineering productivity and sentiment using DORA metrics and surveys to identify gaps and drive continuous improvement • Represent Cisco in high-value forums and evangelize product vision across business units, sales teams, and the broader industry • Foster an innovation culture through hackathons, conduct user research to improve UX, and manage clear communication regarding product roadmaps, feature releases, and deprecations • Serve as a leader within the Product Management community, providing deep technical insight and shaping organizational strategy across portfolios

• Define and evolve architectural solutions that improve system performance, scalability, reliability, and operational excellence. • Design and refine frameworks, tooling, and engineering standards that enhance system resilience and long-term maintainability. • Partner closely with Product, Infrastructure, and Platform teams to embed sound architectural principles into planning, design, and delivery. • Contribute hands-on to critical initiatives, including prototypes, proof-of-concepts, and production systems that demonstrate scalable, maintainable design. • Guide teams in adopting robust distributed system patterns, ensuring fault tolerance, observability, and operational maturity are built in from day one. • Provide thoughtful design reviews and technical guidance that raise the bar for engineering quality and consistency. • Collaborate with engineering leaders to align architectural decisions with business priorities and long-term platform strategy.

• Master technical knowledge of repair commodities • Work collaboratively with engineering teams • Develop work instructions and standard repair routers • Support PMO in defining tooling needs and managing procurement • Be the technical owner of production component repair • Identify opportunities for productivity improvement • Train and mentor new repair engineers