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About the role
AI & Generative AI Large Language Models (OpenAI, Claude, Gemini, Llama, Mistral) Generative AI and Agentic AI architectures Retrieval-Augmented Generation (RAG) Prompt Engineering Multi-Agent Systems AI Orchestration Frameworks (LangChain, LangGraph, CrewAI, AutoGen) Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Machine Learning & Data Science Machine Learning and Deep Learning fundamentals Model evaluation, deployment, and monitoring Feature engineering and data pipelines Programming & Cloud Python (mandatory) AWS, Azure, or GCP REST APIs and Microservices MLOps / LLMOps Docker and Kubernetes Architecture & Consulting Enterprise Solution Architecture Technical Consulting and Pre-Sales Requirements Gathering and Solution Design Stakeholder Management Executive Presentations and Customer Workshops Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 10–15+ years of experience in software engineering, AI/ML, data science, or solution architecture. Proven experience delivering enterprise AI/GenAI solutions in production environments. Strong customer-facing and leadership experience. Preferred Qualifications Certifications in AWS, Azure, GCP, or Generative AI. Experience with Responsible AI, AI Governance, and Security. Exposure to Telecom, BFSI, Retail, Healthcare, Manufacturing, or Supply Chain domains.
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