The AI Practice Lead will be responsible for advising stakeholders on AI transformation, building AI agent design and deployment frameworks, and leading AI engineering and data teams. This role involves defining AI practice vision, developing LLM-based AI agents, and ensuring the reliability and scalability of AI solutions.
About the role
Tasks
Advise stakeholders on AI transformation and agent adoption
Build AI agent design orchestration and deployment frameworks
Build mentor and lead AI engineering and data teams
Define AI practice vision roadmap and operating model
Define reference architectures for agentic AI GenAI and MLOps
Design and develop LLM-based AI agents
Ensure production reliability observability and performance
Ensure scalability security and compliance
Establish AI standards governance security and responsible AI
Evaluate and prioritize AI agent use cases
Implement multi agent systems tool using agents and workflow orchestration
Integrate AI agents with enterprise systems via APIs databases and CRM
Lead AI workshops discovery sessions and agent based PoCs
Own end to end delivery of AI solutions from PoC to production
Perform prompt engineering RAG fine tuning and evaluation