Practice Director - (Scale AI)

Role Overview: You are being sought after as an exceptional technology leader to lead the Scale AI service offering, focusing on enterprise-wide AI deployment with domain agents, MLOps, and responsible governance. Your role will involve architecting and delivering comprehensive AI solutions ranging from vertical applications to core platform infrastructure. Key Responsibilities: - Lead and scale the entire Scale AI service offering, aiming for 40-60% productivity gains for clients - Architect and supervise the development of AI Foundry platform components such as AgentSpace.ai, Govern.ai, and AutonomousDataEng.ai - Define and execute strategies for vertical AI applications catering to diverse personas and use cases - Drive initiatives for 10X faster time-to-value and transformation towards zero-touch operations - Design and implement generative AI solutions using cutting-edge LLMs and multi-agent architectures - Develop and optimize MLOps/LLMOps pipelines for large-scale enterprise deployments - Architect governance frameworks to ensure responsible AI deployment within organizations - Lead the development of autonomous AI agents utilizing frameworks like LangGraph, AutoGen, and CrewAI - Oversee the evolution of AI Foundry Core platform by integrating best-in-class open-source technologies - Drive the development of persona-driven vertical AI applications and implement unstructured data processing capabilities - Ensure seamless integration of the platform 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 such as TensorFlow, PyTorch, JAX - Extensive experience with Generative AI, LLMs (GPT-4, Claude, Gemini, LLaMA), and prompt engineering - Proven expertise in MLOps platforms like 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 - 8+ years building and deploying ML/AI solutions in production environments - 5+ years in Gen AI and LLM-based application development - Strong understanding of AI governance, ethics, and responsible AI practices - Knowledge of data engineering, DataOps, and modern data architectures - Proven track record of leading 20+ member technical teams - Experience in P&L management and business development - Excellent communication skills with the ability to articulate complex technical concepts - Strategic thinking with execution excellence - Experience in building products/platforms from 0 to 1 (Note: Preferred qualifications were omitted as they were not explicitly mentioned in the provided job description.),