Lead AI Engineer

• Architect enterprise-grade GenAI systems using modular LLM APIs, agent orchestration frameworks, and embedding pipelines
• Design and implement autonomous agent workflows with context management, multi-agent coordination, and task delegation
• Optimize performance, latency, and accuracy through experimentation with prompt strategies, retrieval layers, and caching logic
• Lead solution reviews, enforce prompt safety and governance, and ensure alignment with security protocols
• Collaborate with platform, product, and engineering leads to define reusable patterns and scalable AI capabilities
• Guide engineering pods on GenAI design principles, system reliability, and prompt lifecycle management
• Build and maintain reusability assets — SDKs, templates, shared agent logic — to accelerate delivery velocity across teams
• Stay up to date with advancements in LLM tooling, orchestration abstractions, and prompt optimization techniques

Req...