Generative AI Lead

Talent Inspire Consulting; Mumbai; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

An innovative consulting firm in Mumbai is seeking a Generative AI Lead to drive the design and deployment of advanced AI solutions. This role requires 8–12 years of experience, including 3–5 years in AI/ML projects, strong technical skills, and leadership capabilities. You will lead delivery of enterprise-grade GenAI solutions, mentor teams, and explore new AI frameworks. The ideal candidate is proficient in Python and experienced with LLMs and MLOps, committed to ethical AI integration.

Qualifications

• 8–12 years overall experience, with 3–5 years in AI/ML and GenAI projects.
• Prior experience in leading enterprise-scale AI initiatives.

Responsibilities

• Lead end-to-end delivery of enterprise-grade GenAI solutions.
• Architect and optimize RAG pipelines for production use.
• Identify AI-driven opportunities with product & business teams.
• Mentor and guide data scientists, ML engineers, and developers.
• Drive best practices for scalable, secure, and ethical AI adoption.
• Explore and integrate agents, multi-modal AI, and emerging frameworks.

Skills

Proficiency in Python

Experience with PyTorch/TensorFlow

Knowledge of LangChain

Familiarity with Hugging Face

Understanding of LLMs

Hands-on with MLOps

Strong understanding of prompt engineering

Experience with vector DBs

Job description

Employment Type: Full-time

Role summary

We are looking for a Generative AI Lead to spearhead the design, development, and deployment of cutting-edge AI solutions. The ideal candidate will have deep expertise in LLMs, NLP, RAG pipelines, and multi-modal AI, along with proven leadership skills to guide high-performing teams.

Key Responsibilities

• • Lead end-to-end delivery of enterprise-grade GenAI solutions
• • Architect and optimize RAG pipelines for production use
• • Work with product & business teams to identify AI-driven opportunities
• • Mentor and guide data scientists, ML engineers, and developers
• • Drive best practices for scalable, secure, and ethical AI adoption
• • Explore and integrate agents, multi-modal AI, and emerging frameworks

Skills & Qualifications

• • Proficiency in Python, PyTorch/TensorFlow, LangChain, Hugging Face
• • Experience with LLMs (OpenAI, Anthropic, LLaMA, etc.) & fine-tuning
• • Hands-on with MLOps / AI Ops frameworks
• • Strong understanding of prompt engineering, vector DBs (FAISS, Pinecone, Weaviate)

Experience

8–12 years overall, with 3–5 years in AI/ML and GenAI projects

Prior experience leading enterprise-scale AI initiatives