About the role
- 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 and Deep Learning fundamentals
- Model evaluation, deployment, and monitoring
- Feature engineering and data pipelines
- Python (mandatory)
- AWS, Azure, or GCP
- REST APIs and Microservices
- MLOps / LLMOps
- Docker and Kubernetes
- Enterprise Solution Architecture
- Technical Consulting and Pre-Sales
- Requirements Gathering and Solution Design
- Stakeholder Management
- Executive Presentations and Customer Workshops
- 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.
- 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.