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Director of AI Strategy and Deployment Job Opening In India, India – Now Hiring HCLTech


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

Required Skill Profession

Top Executives


  • Job Details

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The Work Culture

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3. Impartiapty

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