AI Technical Lead

Wipro Ltd.; Chennai; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Wipro Ltd. in Chennai is seeking a Senior Technical Lead / Engineering Manager to guide the development of AI-powered applications that fuse modern web tech, LLMs, vector search, and robust backend services. You will lead a small, highly skilled team across frontend, backend, data, and AI platforms.

You will drive architecture ownership, set engineering standards, mentor engineers, and deliver complex cross-functional initiatives while staying hands-on when needed.

Qualifications

• 8+ years of professional software engineering experience with leadership responsibilities.
• 2+ years leading engineering teams, technical projects, or large-scale software initiatives.
• Strong Python expertise, including FastAPI, async programming, and scalable service design.
• Strong PostgreSQL experience, including schema design, migrations, performance tuning, and data architecture.
• Strong React and TypeScript experience building production web applications.
• Hands-on experience with: TanStack ecosystem, React 19, Vite, shadcn/ui, pnpm.
• Experience defining architecture and engineering standards for modern full-stack applications.
• Experience integrating OpenAI, Azure OpenAI, Anthropic, or similar LLM platforms.
• Strong understanding of embeddings, vector databases, RAG architectures, prompt engineering, and AI application design patterns.
• Experience establishing testing strategies, CI/CD practices, and quality engineering standards.
• Proven ability to lead distributed teams, align stakeholders, and drive execution across multiple concurrent initiatives.
• Strong communication and leadership skills with the ability to influence technical direction and organisational outcomes.

Responsibilities

• Lead the technical direction, architecture, and execution of AI-enabled products across frontend, backend, database, and AI layers.
• Manage and mentor a team of software engineers, providing technical guidance, coaching, and career development support
• Drive technical planning, sprint execution, and delivery of complex cross-functional initiatives.
• Establish engineering best practices for system design, code quality, reliability, security, testing, and observability.
• Guide the design and development of production-grade Python services and APIs using FastAPI and PostgreSQL.
• Oversee development of modern React applications and reusable UI frameworks using TypeScript.
• Lead the integration of LLMs, embedding models, vector databases, and RAG-based architectures into production systems.
• Facilitate architecture reviews, design discussions, technical decision-making, and code review processes.
• Partner with Product, UX, Data Science, Infrastructure, and business stakeholders to translate business objectives into scalable technical solutions
• Identify technical risks, manage dependencies, and drive successful delivery of strategic AI initiatives
• Contribute hands-on to critical architectural components and complex technical challenges when needed.

Skills

Python

FastAPI

Async programming

PostgreSQL

React

TypeScript

TanStack ecosystem

Vite

pnpm

OpenAI integration

Azure OpenAI

Anthropic

Tools

TanStack

Vite

shadcn/ui

pnpm

Job description

We are seeking a Senior Technical Lead / Engineering Manager to lead thedevelopment of AI-powered applications that combine modern web technologies, LLMs, vector search, and backend services. This role balances technical leadership, architecture ownership, team development, and hands-on engineering. You will guide a small, highly skilled team while driving delivery across frontend, backend, data, and AI platforms.

Responsibilities:

• Lead the technical direction, architecture, and execution of AI-enabledproducts across frontend, backend, database, and AI layers.
• Manage and mentor a team of software engineers, providing technical guidance, coaching, and career development support
• Drive technical planning, sprint execution, and delivery of complex cross-functional initiatives.
• Establish engineering best practices for system design, code quality, reliability, security, testing, and observability.
• Guide the design and development of production-grade Python services and APIs using FastAPI and PostgreSQL.
• Oversee development of modern React applications and reusable UI frameworks using TypeScript.
• Lead the integration of LLMs, embedding models, vector databases, andRAG-based architectures into production systems.
• Facilitate architecture reviews, design discussions, technical decision-making, and code review processes.
• Partner with Product, UX, Data Science, Infrastructure, and business stakeholders to translate business objectives into scalable technical solutions
• Identify technical risks, manage dependencies, and drive successful delivery of strategic AI initiatives
• Contribute hands-on to critical architectural components and complex technical challenges when needed.

Requirements:

• 8+ years of professional software engineering experience, including technical leadership responsibilities.
• 2+ years of experience leading engineering teams, technical projects, orlarge-scale software initiatives.
• Strong Python expertise, including FastAPI, async programming, modern typing practices, and scalable service design.
• Strong PostgreSQL experience, including schema design, migrations, performance tuning, and data architecture.
• Strong React and TypeScript experience building and leading development of production web applications.
• Hands-on experience with: o TanStack ecosystem, React 19o Viteo shadcn/uio pnpm.
• Experience defining architecture and engineering standards for modern full-stack applications.
• Experience integrating OpenAI, Azure OpenAI, Anthropic, or similar LLM platforms.
• Strong understanding of embeddings, vector databases, RAG architectures, prompt engineering, and AI application design patterns.
• Experience establishing testing strategies, CI/CD practices, and quality engineering standards.
• Proven ability to lead distributed teams, align stakeholders, and drive execution across multiple concurrent initiatives.
• Strong communication and leadership skills with the ability to influence technical direction and organisational outcomes.

Nice to Have

• Experience leading AI/ML product development teams
• Experience with LLM evaluation frameworks, golden datasets, model monitoring, and AI testing strategies.
• Familiarity with tokenisation, caching, inference optimisation, and LLM infrastructure concepts.
• Experience with dependency injection, repository patterns, domain-drivendesign, and enterprise architecture practices.
• Experience managing engineering roadmaps, resource planning, and technical prioritisation.
• Experience in financial services, banking technology, or other highly regulated enterprise environments.
• Experience designing reusable enterprise platforms that support multiple AI products and use cases.

Success Profile:

• The ideal candidate combines strong technical depth with leadership capability.
• They can effectively lead engineers, make sound architectural decisions, collaborate with stakeholders, and remain sufficiently hands-on to guide implementation of complex systems.