Lead Gen AI
Skills
About the role
Key Responsibilities:
Lead architecture, design, and implementation of enterprise Generative AI solutions using Azure AI Services and Azure OpenAI.
Design and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic search systems.
Drive end-to-end development of AI-powered applications including copilots, chatbots, and intelligent assistants.
Collaborate with business stakeholders to identify GenAI use cases and translate them into scalable technical solutions.
Define and enforce best practices for prompt engineering, model evaluation, governance, and responsible AI.
Lead and mentor teams of AI engineers, developers, and data scientists.
Design and develop scalable Python-based microservices and APIs for AI solutions.
Ensure performance, scalability, reliability, cost optimization, and production readiness of AI systems.
Establish MLOps pipelines, CI/CD workflows, and AI monitoring frameworks.
Evaluate and adopt emerging AI technologies to improve business outcomes.
Oversee deployment and production support of GenAI solutions.
Ensure security, compliance, and responsible AI implementation standards.
Participate in technical reviews, architecture decisions, and delivery planning.
Required Skills:
6–10 years of IT experience.
Strong hands-on experience in Python development.
Azure Cloud and Azure AI Services expertise.
Azure OpenAI Service and Azure AI Studio experience.
Strong understanding of LLMs and Generative AI systems.
Hands-on experience building RAG-based solutions.
Expertise in vector databases (Pinecone, FAISS, ChromaDB, Weaviate, etc.).
Strong experience with LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks.
Prompt engineering, embeddings, and semantic search expertise.
Microservices architecture and REST API development.
CI/CD pipelines, Git, Azure DevOps, Docker, Kubernetes experience.
Preferred Skills:
Experience leading AI/ML or GenAI engineering teams.
Knowledge of AI governance, responsible AI, and model security.
Experience with AI observability, fine-tuning, and evaluation frameworks.
Exposure to MLOps platforms and production AI systems.
Experience with multi-agent AI systems and orchestration frameworks.
Strong stakeholder management and solution architecture experience.
Interview Focus Areas:
Azure OpenAI and Azure AI Services
Python system design and backend architecture
LLM architecture and optimization strategies
RAG pipeline design and enterprise-scale implementation
Vector databases and embeddings
LangChain / LlamaIndex / Semantic Kernel / CrewAI
Prompt engineering and evaluation methods
AI governance, security, and responsible AI
MLOps, CI/CD, and deployment strategies
Leadership, mentoring, and stakeholder management
Educational Qualification:
Bachelor’s/Master’s in Computer Science, AI, Data Science, or related field
Location:
Mumbai / Pune / Kochi / Chennai / Coimbatore / Hyderabad
Type: Onsite / Hybrid
Pay: ₹900,000.00 - ₹1,300,000.00 per year
Benefits:
Provident Fund
Work Location: Hybrid remote in Pune, Maharashtra (Pune, Pune District)
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