Hiring AI Lead - women candidate (Diversity role)

Axis Max Life Insurance

Gurugram District

On-site

INR 3,500,000 - 6,000,000

Full time

6 days ago
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Job summary

AXIS Max Life is hiring an AI Engineering & Full Stack Technology Lead for our Gurgaon office to design, build, and scale enterprise AI products across the insurance value chain.

You will own end-to-end AI applications, mentor teams of AI engineers and data scientists, and collaborate with business and technology leaders to deliver measurable impact using Generative AI, ML, NLP, and cloud platforms. This leadership role requires strong product thinking and hands-on excellence.

Qualifications

  • Experience delivering end-to-end AI products at scale.
  • Strong foundation in ML/DL, NLP, Generative AI.
  • Proficient in cloud platforms and MLOps.

Responsibilities

  • Lead end-to-end AI product development from concept to deployment.
  • Build ML pipelines, MLOps, and governance for AI systems.
  • Mentor AI engineers and data scientists; drive a culture of innovation.
  • Collaborate with business and technology leaders to identify high-value AI use cases.

Skills

AI & Data Science
Full Stack Dev
Leadership
Cloud & DevOps
Product Thinking

Education

BE/BTech or MTech in CS/Engineering/Data Science

Tools

PyTorch
TensorFlow
LangChain
LLamaIndex

Job description

We are hiring for AI lead for our Gurgaon office for our AI digital business.

Job Location: Gurgaon

Role Purpose

AI Works is Max Lifes dedicated AI innovation unit focused on building enterprise-scale AI solutions that drive business transformation across the insurance value chain.

We are seeking a highly skilled AI Engineering & Full Stack Technology Lead who can combine expertise in Software Engineering, AI/ML, Generative AI, Data Science, Cloud Engineering, and Product Development to design, build, and scale intelligent digital products.

The role will be responsible for end-to-end ownership of AI applications, from business problem identification and solution architecture to engineering, deployment, monitoring, and continuous enhancement.

Key Responsibilities
AI Product & Solution Development
  • Design and develop enterprise-grade AI applications, copilots, intelligent agents, and decision-support platforms.
  • Translate business requirements into scalable AI-driven products and technical solutions.
  • Build and deploy solutions leveraging Generative AI, LLMs, Agentic AI, RAG, NLP, Computer Vision, Speech AI, and Machine Learning.
AI Engineering & MLOps
  • Build end-to-end ML pipelines covering data ingestion, model development, deployment, monitoring, and governance.
  • Implement MLOps, AI observability, model lifecycle management, and Responsible AI practices.
  • Develop reusable AI services, frameworks, and accelerators for enterprise adoption.
Leadership & Stakeholder Management
  • Partner with business and technology leaders to identify high-value AI use cases.
  • Lead team of AI Engineers & Data Scientists.
  • Mentor teams and foster a culture of innovation, learning, and execution excellence.
Required Skills & Expertise
AI & Data Science
  • Machine Learning, Deep Learning, NLP, Generative AI, LLMs, Agentic AI, Recommendation Systems
  • PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, AutoML
Full Stack Development
  • Python, Node.js, Java, .NET
  • React, Angular, TypeScript
  • REST APIs, GraphQL, Microservices
Cloud & DevOps
  • AWS / Azure / GCP
  • Docker, Kubernetes, CI/CD, Terraform
  • MLOps and AI Platform Engineering
Ideal Candidate Profile

A technology leader with proven experience in delivering end-to-end AI products at scale, combining:

Business Acumen + AI/ML + Full Stack Software Engineering + Cloud & MLOps + Product Thinking

to create measurable business impact and accelerate enterprise AI adoption.

Educational Qualification

BE/ Btech or Masters degree in Computer Science, Engineering, Data Science, AI, Mathematics, Statistics, or related disciplines.

Regards,

Geeta

AXIS Max Life

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