Gen AI Lead

Experience: 8 Years
Location: Bangalore / Chennai / Hyderabad / Pune / Noida

We are seeking an experienced Gen AI Lead to drive the design development and deployment of cutting-edge Generative AI solutions. The ideal candidate should possess strong expertise in Large Language Models (LLMs) AI/ML frameworks cloud platforms and end-to-end AI solution architecture. The role requires technical leadership stakeholder management and hands-on development experience in enterprise-scale AI applications.

• Lead the development and implementation of Generative AI solutions across business domains.
• Design scalable AI/LLM-based architectures and intelligent automation systems.
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines and AI agents.
• Fine-tune evaluate and deploy LLMs for enterprise use cases.
• Collaborate with cross-functional teams including Data Engineering DevOps Product and Business stakeholders.
• Drive AI governance security scalability and performance optimization.
• Mentor and guide development teams on Gen AI best practices and architecture.
• Integrate AI solutions with APIs databases and cloud-native platforms.
• Stay updated with emerging trends in AI LLMs and cloud technologies.

• Strong experience in Generative AI and Machine Learning
• Expertise in LLMs RAG Prompt Engineering and AI Agents
• Hands-on experience with Python
• Experience with frameworks such as LangChain LlamaIndex Hugging Face or similar
• Strong knowledge of OpenAI Azure OpenAI or AWS Bedrock
• Experience with vector databases such as Pinecone FAISS ChromaDB or Weaviate
• Knowledge of cloud platforms: AWS / Azure / GCP
• Experience with Microservices and API development
• Familiarity with Docker Kubernetes CI/CD and DevOps practices
• Strong understanding of data structures algorithms and scalable system design

• Bachelors/Masters degree in Computer Science AI Data Science or related field
• Experience leading AI/ML teams and enterprise AI projects
• Strong communication and stakeholder management skills
• Exposure to MLOps and AI model deployment pipelines

• Experience with multi-modal AI applications
• Knowledge of NLP Deep Learning and Transformer architectures
• Certifications in Cloud or AI technologies
• Experience working in Agile/Scrum environments

Full-Time

Immediate to 30 days preferred.