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EXL

Gen AI – Engineering Lead

EXL

Sr. Manager leading strategic AI/ML initiatives for Generative AI, LLM/VLM, and Agentic Technologies.

Posted 5/22/2026full-timeNoida • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies
PythonPyTorchTensorflow

About the role

Key responsibilities & impact
  • Gather and translate business requirements into AI/ML solutions.
  • Manage project timelines, resources, and deliverables across cross-functional teams.
  • Communicate progress, challenges, and opportunities to senior stakeholders and executives.
  • Foster a culture of innovation, experimentation, and continuous improvement.
  • Provide technical direction, mentorship, and career development support.
  • Design, fine-tune, and deploy LLMs and VLMs for domain-specific and general-purpose use cases.
  • Build and operationalize Agentic AI systems that leverage autonomous agents capable of reasoning, planning, and interacting with users, environments, and other agents.
  • Develop and implement Agentic Technology frameworks, including task orchestration, memory management, and multi-agent collaboration.
  • Leverage the NVIDIA stack (CUDA, TensorRT, Triton Inference Server, etc.) for high-performance model training and deployment.
  • Build scalable ML pipelines and inference services using Python, PyTorch, TensorFlow, HuggingFace, and similar frameworks.
  • Stay current with cutting-edge research in Generative AI, LLMs/VLMs, Agentic Systems, and AI Infrastructure.
  • Drive PoCs and pilot programs to evaluate new technologies and their business impact.
  • Represent the AI function in strategic discussions, product roadmaps, and technology planning.

Requirements

What you’ll need
  • 8–14 years of experience in AI/ML
  • Proven track record in LLM/VLM fine-tuning, deployment, and real-world implementation
  • Deep expertise in Agentic AI technologies, autonomous agents, multi-agent systems, and decision-making architectures
  • Strong background in Generative AI, including prompt engineering, RAG, and synthetic data generation
  • Hands-on experience with NVIDIA AI stack (CUDA, TensorRT, Triton, etc.) for optimized training/inference workflows
  • Strong proficiency in Python, with practical experience using ML frameworks like PyTorch, TensorFlow, HuggingFace Transformers
  • Excellent communication and stakeholder management skills.

Benefits

Comp & perks
  • NA 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score

ATS Keywords

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Hard Skills & Tools
AI solutionsML solutionsLLMsVLMsAgentic AImulti-agent systemsGenerative AIPythonPyTorchTensorFlow
Soft Skills
communicationstakeholder managementmentorshipinnovationexperimentationcontinuous improvementproject management