Lead Gen AI

• *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)