Practice Director - (Scale AI)

Role Overview: You will be the technology leader responsible for spearheading the Scale AI service offering, driving enterprise-wide AI deployment with domain agents, MLOps, and responsible governance. Your role will involve architecting and delivering comprehensive AI solutions, from vertical applications to core platform infrastructure. Key Responsibilities: - Lead and scale the entire Scale AI service offering, aiming to achieve 40-60% productivity gains for clients. - Architect and oversee the development of AI Foundry platform components, including AgentSpace.ai, Govern.ai, and AutonomousDataEng.ai. - Define and execute the strategy for vertical AI applications across diverse personas and use cases. - Drive initiatives for 10X faster time-to-value and zero-touch operations transformation. - Design and implement production-grade generative AI solutions using cutting-edge LLMs and multi-agent architectures. - Build and optimize MLOps/LLMOps pipelines for enterprise-scale deployments. - Architect governance frameworks to ensure responsible AI deployment across organizations. - Lead the development of autonomous AI agents using frameworks like LangGraph, AutoGen, and CrewAI. - Oversee AI Foundry Core platform evolution by integrating best-in-class open-source technologies. - Drive the development of persona-driven vertical AI applications such as MEGA LT, Tech & Semi, LSH, Telco, RCPG, and BFSI. - Implement unstructured data processing capabilities for comprehensive AI solutions. - Ensure seamless integration with enterprise systems and data infrastructure. - Build and mentor high-performing teams of AI engineers, data scientists, and ML engineers. - Engage with C-level executives to understand business challenges and translate them into AI solutions. - Drive pre-sales activities, solution architecture, and technical proposals. - Foster an innovation culture and continuous learning within the team. Qualification Required: - Deep hands-on experience with ML/Deep Learning frameworks like TensorFlow, PyTorch, and JAX. - Extensive experience with Generative AI, LLMs (GPT-4, Claude, Gemini, LLaMA), and prompt engineering. - Proven expertise in MLOps platforms such as MLflow, Kubeflow, SageMaker, and Vertex AI. - Strong programming skills in Python, with experience in production ML systems. - Experience with vector databases, RAG architectures, and embedding models. - Hands-on experience building AI agents and multi-agent systems. - 8+ years of experience building and deploying ML/AI solutions in production environments. - 5+ years in Gen AI and LLM-based application development. - Experience with vertical AI solutions across multiple industries. - Strong understanding of AI governance, ethics, and responsible AI practices. - Knowledge of data engineering, DataOps, and modern data architectures. - Proven track record of leading technical teams, P&L management, and business development. - Excellent communication skills with the ability to articulate complex technical concepts to diverse audiences. - Strategic thinking with execution excellence. - Experience in building products/platforms from 0 to 1. Note: Preferred qualifications, domain knowledge, and any additional details of the company were not present in the provided Job Description.,