- 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 techniquesRequired Qualifications:- 6–8+ years of experience in AI/ML engi...