Function
AI Works
Location
Gurugram
Experience
10+ Years
Role Purpose
AI Works is Max Life’s 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 skilledAI Engineering Full Stack Technology Lead who can combine expertise inSoftware 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.
Full Stack Engineering
- Develop scalable frontend, backend, API, and microservices architectures.
- Build cloud-native applications with high performance, reliability, and security.
- Establish engineering best practices.
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 deliveringend-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
Master’s degree in Computer Science, Engineering, Data Science, AI, Mathematics, Statistics, or related disciplines.
Success Measures
- Delivery of scalable AI products and platforms
- Business impact generated through AI adoption
- Engineering quality, scalability, and reliability
- Innovation and reuse of AI assets/frameworks
- Team growth, capability building, and stakeholder satisfaction
