Generative AI / ML Lead

Job Description

Role Summary

We are looking for a Generative AI / ML Lead with advanced cloud architecture expertise , deep knowledge of RAG and agentic AI patterns , and hands-on leadership in delivering enterprise-grade AI solutions. This role combines strategic vision with technical depth , leading a team of engineers to implement AI-powered applications at scale, including edge and hybrid deployments .

Key Responsibilities

• Strategize GenAI or ML solution architecture across cloud, edge, and hybrid environments.
• Experience in evaluating LLM applications and developing observability frameworks
• Research and implement latest technology and frameworks
• Experience working with diffusion models like Stable Diffusion, MidJourney, Runway, Imagen, Veo etc.
• Experience in working with structured data along with LLMs frameworks
• Lead design and implementation of RAG-based knowledge systems and agentic AI workflows .
• Select and integrate enterprise-grade AI models (OpenAI, Anthropic, Mistral, LLaMA, custom fine-tuned models).
• Drive cloud-native AI deployments leveraging AWS, Azure, and GCP AI services.
• Architect LLMOps pipelines for scalable AI model lifecycle management.
• Implement AI governance, risk management, and compliance frameworks for regulated industries.
• Lead PoCs and pilots , then guide them to production-grade rollouts.
• Evaluate and optimize AI cost, performance, and security trade-offs.
• Mentor and manage AI engineers, setting best practices for RAG, agentic, and edge AI . Be responsible and own delivery outcomes for all GenAI initiatives, ensuring scope, timelines, and quality targets are met.
• Collaborate with business stakeholders to translate needs into AI-powered products .
• Establish AI monitoring and observability (drift detection, hallucination tracking, usage analytics).

Required Skills

Preferred Skills

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