7 days ago
Base Salary
$187k - $268k/yr
Responsibilities
- Define and drive architecture for AI decision systems, agentic AI platforms, and enterprise-scale validation and automation capabilities.
- Design agent architectures, MCP and A2A integrations, agent routing, tool orchestration, workflow execution, approval-gated actions, and distributed event-driven systems.
- Guide architecture across backend services, APIs, databases, Kubernetes, cloud infrastructure, observability, and production operations.
- Lead technical alignment across Engineering, Product, UX, Security, Infrastructure, QA, and partner teams.
- Provide technical leadership for complex cross-functional initiatives and influence platform strategy, engineering standards, and long-term platform evolution.
- Mentor senior engineers and technical leads.
- Design multi-agent capabilities including planner/executor patterns, agent handoffs, state management, checkpointing, retries, cancellation, and durable workflows.
Requirements
- Bachelor’s degree in STEM and 8+ years of software engineering experience designing and building complex backend, distributed, automation, or platform systems.
- Experience with Python, Go, Rust, TypeScript, React, Node.js, .NET, PostgreSQL, Redis, Kafka, or similar technologies.
- Experience designing distributed systems using APIs, databases, event-driven architectures, workflow systems, or cloud-native technologies.
- Experience developing or architecting generative AI, LLM, agentic AI, MCP, A2A, or AI-enabled automation systems.
- Experience with Kubernetes, Docker, CI/CD, cloud platforms, and production software operations.
- Experience designing advanced multi-agent architectures, including planner/executor patterns, agent handoffs, state management, checkpointing, retries, cancellation, or durable workflows.
- Preferred experience designing AI quality, evaluation, observability, and governance frameworks.
- Preferred experience with network automation, device connectivity, validation platforms, infrastructure automation, or enterprise network systems.
- Preferred experience leading architecture across multiple engineering teams and influencing technical strategy, standards, and platform roadmaps.
- Preferred experience architecting MCP and A2A systems involving capability discovery, tool schemas, authentication, context propagation, streaming, approval gates, auditability, and failure handling.
Benefits
- Medical, dental, and vision insurance for eligible U.S. employees.
- 401(k) plan with Cisco matching contribution.
- Paid parental leave, short- and long-term disability coverage, and basic life insurance.
- Paid holidays, birthday leave, year-end shutdown, personal wellness days, vacation or flexible vacation time, and sick time.
- Optional paid volunteer time and additional paid time away for critical family or emergency issues.
- Eligibility for annual bonuses, Cisco restricted stock units, and other benefits and perks subject to plan and policy eligibility.
Tech Stack
Categories
About Cisco
Cisco is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its customers, partners and communities to unlock innovation, enhance productivity and strengthen digital resilience. With purpose at its core, Cisco remains committed to creating a more connected and inclusive future for all.