Deputy Manager- Artificial Intelligence

ReNew; Gurugram District; On-site; INR 1,800,000 - 2,500,000; Full time

Job summary

ReNew is hiring a Deputy Manager - Artificial Intelligence in Gurugram to lead AI/GenAI initiatives and deliver enterprise AI solutions. You will translate business needs into ML/GenAI applications, design RAG/workflows, and deploy production-grade AI services while collaborating with data science, cloud, cybersecurity, and engineering teams.

You will mentor junior AI engineers and contribute to governance, observability, and secure deployment with tools like LangChain, Langfuse, and Azure

Qualifications

• Bachelor's degree in Engineering, Computer Science, Data Science, AI or related field; Master's preferred.
• 4-5 years in Data Science, ML and AI Engineering.
• Strong DS/ML foundation with production experience in AI.
• Hands-on contribution to production AI/GenAI solutions.
• Ability to own an AI solution or major component.

Responsibilities

• AI & Digital Transformation: identify AI/GenAI/ML opportunities across business functions.
• Solution Delivery & AI Engineering: own AI solutions from problem to deployment.
• Stakeholder Management: collaborate with Data Science, Cloud, Cybersecurity and Eng teams.
• AI Governance & Observability: ensure secure deployment and responsible AI use.

Skills

Data Science

ML engineering

Production AI

Team communication

Education

Bachelors in Engineering/CS/Data Science

Masters preferred

Tools

Python

FastAPI

LangChain/LangGraph

GenAI/LLMs

Azure OpenAI

Docker

CI/CD

API security

Redis

Neo4j/GraphRAG

AWS exposure

Job description

Working @ Renew

Working here means you’ll be part of something genuinely special . Funded by marquee investors and guided by a unique set of values, ReNew is the leading renewable energy IPP in India in terms of total energy generation capacity. We take pride in providing opportunities to our employees to create, explore, express, take risks and grow. As a ReNewer, you’ll always be doing things that would be beneficial to millions.

Job Description

Role: Deputy Manager- Artificial intelligence

Experience: 4-5 years

Location: Gurgoan

Key Responsibilities

AI & Digital Transformation

• Identify AI, GenAI, ML, analytics and automation opportunities across business functions.
• Translate business requirements into appropriate ML, GenAI, RAG or agentic AI solutions.
• Develop enterprise assistants, analytical agents and intelligent AI applications.
• Evaluate emerging AI models, frameworks and technologies.

Solution Delivery & AI Engineering

• Independently own AI solutions from problem definition through production deployment.
• Design and build RAG, conversational AI and agentic workflows.
• Develop multi-step workflows using LangGraph/LangChain.
• Build production-grade Python and FastAPI services.
• Integrate AI agents with APIs, databases, analytical models and enterprise systems.
• Implement authentication, validation, error handling, rate limiting, retries and timeouts.
• Containerise and deploy AI services using Docker and Azure.
• Develop reusable AI capabilities rather than use-case-specific applications.

Stakeholder Management

• Work with business teams to understand problems, outcomes and success metrics.
• Partner with Data Science, Cloud, Cybersecurity and Engineering teams to productionise AI solutions.
• Communicate solution design, progress, dependencies and technical risks.
• Mentor junior AI Engineers and participate in technical/code reviews.

AI Governance & Observability

• Ensure secure and responsible deployment of AI solutions.
• Implement controls for data access, secrets, grounding and unauthorised agent/tool usage.
• Implement LLM and agent tracing using Langfuse or equivalent platforms.
• Evaluate retrieval quality, answer quality, tool selection, latency and errors.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, Data Science, AI or related field. Master's preferred.
• 4-5 years across Data Science, ML and AI Engineering.
• Strong DS/ML foundation with demonstrated transition into production AI Engineering.
• Hands-on contribution to 1-2 production or production-scale AI/GenAI solutions.
• Ability to independently own an AI solution or major technical component.

Technical Expertise

• Data Science and ML fundamentals
• Python and FastAPI
• GenAI, LLMs and RAG
• LangGraph / LangChain
• AI agents and tool calling
• Langfuse / LLM observability
• Azure / Azure OpenAI
• Docker and CI/CD
• API security and authentication
• Redis and vector databases
• Neo4j / GraphRAG exposure
• AWS exposure is an advantage

Preferred Trajectory

DS/ML → GenAI → Production AI Engineering → End-to-End Solution Ownership.