Senior GenAI Engineering Lead — Planning & Execution (Python)
Evolver, Palo Alto
What you will do
- Own the roadmap and delivery: Define priorities for the platform’s planning and execution layer, translate them into milestones, and lead delivery aligned with customer needs and business goals.
- Evolve the platform architecture: Lead the evolution of the planner and executor architecture, defining component boundaries, interfaces, and state management to support scalability, extensibility, and reliability.
- Advance planning and orchestration: Develop capabilities for goal decomposition, agent and tool selection, dependency management, and adaptive replanning based on execution feedback.
- Deliver reliable, observable execution: Build resilient workflows with persistent state, failure recovery, and human oversight. Establish evaluations and monitoring to improve quality, latency, and cost.
- Lead a small development team: Set technical direction, coordinate work, coach developers, and maintain engineering quality while writing and reviewing production Python code. Collaborate with product, domain, infrastructure, and security teams to deliver enterprise-ready capabilities.