▷ [3 Days Left] Practice Director - (Scale AI)

Job Description Job Location: Noida/Chennai/Bangalore About the Role: We are seeking an exceptional technology leader to spearhead our Scale AI service offering, driving enterprise-wide AI deployment with domain agents, MLOps, and responsible governance. This role requires a visionary leader who can architect and deliver comprehensive AI solutions from vertical applications to core platform infrastructure. Key Responsibilities: Strategic Leadership: - Lead and scale the entire Scale AI service offering, driving 40-60% productivity gains for clients - Architect and oversee development of AI Foundry platform components including AgentSpace.ai, Govern.ai, and AutonomousDataEng.ai - Define and execute strategy for vertical AI applications across diverse personas and use cases - Drive 10X faster time-to-value initiatives and zero-touch operations transformation Technical Excellence: - 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 ensuring responsible AI deployment across organizations - Lead development of autonomous AI agents using frameworks like LangGraph, AutoGen, and CrewAI Platform Development: - Oversee AI Foundry Core platform evolution integrating best-in-class open-source technologies - Drive development of persona-driven vertical AI applications (MEGA LT, Tech & Semi, LSH, Telco, RCPG, BFSI) - Implement unstructured data processing capabilities for comprehensive AI solutions - Ensure seamless integration with enterprise systems and data infrastructure Team & Client Leadership: - 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 innovation culture and continuous learning within the team Required Qualifications: Technical Expertise: - Deep hands-on experience with ML/Deep Learning frameworks (TensorFlow, PyTorch, JAX) - Extensive experience with Generative AI, LLMs (GPT-4, Claude, Gemini, LLaMA), and prompt engineering - Proven expertise in MLOps platforms (MLflow, Kubeflow, SageMaker, 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 Domain Knowledge: - 8+ years 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 Leadership Skills: - Proven track record of leading 20+ member technical teams - Experience in P&L management and business development - Excellent communication skills with ability to articulate complex technical concepts to diverse audiences - Strategic thinking with execution excellence - Experience in building products/platforms from 0 to 1 Preferred Qualifications: - Advanced degree (MS/PhD) in Computer Science, AI/ML, or related field - Publications or patents in AI/ML domain - Experience with cloud platforms (AWS, Azure, GCP) for AI workloads - Contributions to open-source AI/ML projects - Experience with edge AI and distributed AI systems