Deputy Manager- Artificial Intelligence

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.

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.