AI Engagement Lead

Description: Lead AI/GenAI engagements from discovery to deployment and production. Serve as the primary technical and delivery interface for clients and stakeholders. Translate business objectives into AI/ML solution requirements and engineering plans. Own project planning, timelines, risks, and overall delivery. Coordinate across teams including AI Engineers, Data Scientists, and Product Managers. Conduct client discussions, status reviews, and solutioning sessions. Identify and resolve delivery risks and technical challenges. Architect and develop AI/ML and Generative AI solutions for enterprise use cases. Lead development of LLM-powered applications and AI workflows. Design end-to-end AI application architectures and retrieval pipelines. Requirements: 10+ years of experience in software engineering, AI/ML engineering, or data science. Strong hands-on experience in building and deploying AI/ML or Generative AI solutions. Proven experience leading technical teams while remaining hands-on. Proficiency in Python and experience with production-grade applications. Understanding of LLMs, Generative AI, NLP, and AI agents. Experience with AI/GenAI frameworks like LangChain or equivalent. Familiarity with LLM APIs and foundation models such as OpenAI or Azure OpenAI. Experience with vector databases and semantic search. Knowledge of cloud-based AI solutions on AWS, Azure, or GCP. Understanding of APIs, microservices, Docker, and CI/CD. Strong client-facing communication and stakeholder management skills. Master's in Business Analytics or equivalent work experience. Benefits: Significant career development opportunities as the company grows. Opportunity to work in a fast-growing, entrepreneurial environment with high individual responsibility.