Lead the development of scalable GenAI-powered systems, designing intelligent workflows that leverage large language models (LLMs), vector-based retrieval, and multi-agent orchestration frameworks.
Responsibilities
Lead the development of scalable GenAI-powered systems
Design intelligent workflows that leverage large language models (LLMs), vector-based retrieval, and multi-agent orchestration frameworks
Drive solution architecture
Mentor junior engineers
Deliver production-ready applications that integrate deeply with business processes and platforms
Lead the development of scalable GenAI-powered systems, designing intelligent workflows that leverage large language models (LLMs), vector-based retrieval, and multi-agent orchestration frameworks.
Responsibilities
Lead the development of scalable GenAI-powered systems
Design intelligent workflows that leverage large language models (LLMs), vector-based retrieval, and multi-agent orchestration frameworks
Drive solution architecture
Mentor junior engineers
Deliver production-ready applications that integrate deeply with business processes and platforms
Own the end-to-end product roadmap for AI-native Support/TAC capabilities, driving the transformation of technical support through agentic AI and intelligent orchestration.
Locations (4)
San Jose, California, United States
New York, United States
Washington, United States
Canada
Compensation
The starting salary range posted for this position is $154,900.00 to $225,300.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
Responsibilities
Own the end-to-end product roadmap for AI-native Support/TAC capabilities
Own the end-to-end product roadmap for AI-native Support/TAC capabilities, balancing immediate wins in deflection and entitlement accuracy with long-term domain ontology development.
Lead the development of scalable GenAI-powered systems, designing intelligent workflows that leverage large language models (LLMs), vector-based retrieval, and multi-agent orchestration frameworks. Drive solution architecture, mentor junior engineers, and deliver production-ready applications that integrate deeply with business processes and platforms.
Responsibilities
Lead the development of scalable GenAI-powered systems
Design intelligent workflows leveraging large language models (LLMs)
Implement vector-based retrieval and multi-agent orchestration frameworks
Lead the development of scalable GenAI-powered systems, designing intelligent workflows that leverage large language models (LLMs), vector-based retrieval, and multi-agent orchestration frameworks.
Responsibilities
Lead the development of scalable GenAI-powered systems
The starting salary range posted for this position is $154,900.00 to $225,300.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
Responsibilities
Own the end-to-end product roadmap for AI-native Support/TAC capabilities
Define and optimize the pre-case intake experience
Lead the design and governance of the SR Case lifecycle
Partner across Product, Engineering, and Support leadership to codify domain events, confidence rules, and escalation policies
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Business, or related field
Nice to have: background in technical support, TAC, or managed services
Nice to have: familiarity with Cisco IQ, AgenticOps platform, AI Canvas
Nice to have: lifecycle-risk concepts
Nice to have: event-driven or state-machine-based workflow design
