Gen AI - Engineering Lead

EXL; Dadri; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

EXL is seeking a visionary and technically hands‑on Sr. Manager to lead strategic AI/ML initiatives focused on Generative AI, LLMs/VLMs, and Agentic Technologies.

This role blends deep technical proficiency with project management, driving the development and deployment of next‑generation AI systems across the organization. You will guide architecture, mentor teams, collaborate with stakeholders, stay abreast of research, and deliver PoCs that demonstrate business impact and value across

Qualifications

• 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.

Responsibilities

• Translate business requirements into AI/ML solutions and drive project delivery.
• Manage timelines, resources, and cross‑functional team initiatives.
• Communicate progress and opportunities to senior stakeholders and executives.
• Provide technical direction, mentorship, and career development support.
• Stay current with cutting‑edge research and drive PoCs.

Skills

LLM fine-tuning

Agentic AI

Python

PyTorch

TensorFlow

HuggingFace

Generative AI

Multi-agent

Prompt engineering

NVIDIA stack

Tools

CUDA

TensorRT

Triton

Job description

Job Title: Sr. Manager – AI/ML (Generative AI, Agentic & LLM/VLM Technologies)

Experience: 8 to 14 years

Location: NCR

Department: Artificial Intelligence / Machine Learning / Emerging Technologies

Job Summary

We are looking for a visionary and technically hands‑on Sr. Manager to lead strategic AI/ML initiatives focused on Generative AI, LLMs/VLMs, and Agentic Technologies. This role blends deep technical proficiency with project management, driving the development and deployment of next‑generation AI systems across the organization.

Key Responsibilities

Project & Stakeholder Management:

• 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.

Technical Execution & Innovation

• 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.

Research & Thought Leadership

• 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.

Key Skills & Experience

• 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.