Practice Director - (Scale AI)

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