Lead applied AI research in LLMs, agent frameworks, RAG, embeddings, and multimodal document understanding
Drive productization: transform prototypes into scalable, reliable SaaS and on-prem solutions
Design and refine AI pipelines for automation (prompting, orchestration, validation, continuous learning)
Collaborate with Product, PS, and CS teams to ensure customer requirements translate into robust AI features
Mentor and grow AI engineers, delivery specialists, and researchers; help define team structure
Represent the company’s AI vision internally and externally, including with strategic partners and enterprise clients
Balance experimentation and delivery: move fast, but with enterprise-grade quality

Deep hands-on expertise with LLMs, AI agents, RAG, embeddings, and orchestration frameworks (LangChain, LangGraph, CrewAI, MCP, etc.)
Strong track record in AI productization (building features beyond prototypes)
Experience with enterprise automation domains (finance, GBS, ERP systems like SAP/Oracle/Workday, etc.)
Proven ability to work cross-functionally with Product, Engineering, and Delivery teams
Leadership qualities: able to coach, mentor, and inspire a growing AI team
Pragmatic builder: combines research curiosity with execution discipline

Director of AI

Key skills