AI/ML Architect / Engineering Leader

As a Technology Leader specializing in AI/ML and Generative AI, your role will involve architecting, designing, and implementing enterprise-grade AI platforms. Your expertise in LLMs, RAG, Agentic AI, and Azure AI Services will be crucial in driving the AI-first transformation journey for large enterprises. Additionally, you will be responsible for building AI-powered digital expert systems and leading teams to deliver scalable, secure, and business-aligned AI solutions. Key Responsibilities: - Architect and implement AI/ML and Generative AI platforms for large-scale enterprise adoption. - Develop RAG pipelines, Agentic AI workflows, and LLMOps frameworks using LangChain, LangGraph, and Hugging Face. - Integrate solutions with Core Banking, ERP, H2H, and API platforms ensuring scalability, security, and compliance. - Lead and mentor high-performing engineering teams following Agile/DevOps best practices. - Evaluate and integrate emerging AI ecosystems such as OpenAI, Anthropic, Mistral, Azure OpenAI, and GCP Vertex AI. - Collaborate with product and business leaders to align AI initiatives with enterprise strategy and measurable ROI. Qualifications Required: - Experience in Generative AI & LLMs including GPT-4, LLaMA, Claude, RAG, Agentic AI, LangChain, and LangGraph. - Proficiency in AI/ML Engineering with skills in Deep Learning, NLP, Python, FastAPI, MLFlow, PyTorch, TensorFlow, and Keras. - Knowledge of Cloud & Platform Engineering utilizing Azure AI Services, Azure OpenAI, Synapse, Azure ML Studio, AWS, and GCP. - Familiarity with Data & Integration technologies like Kafka, ETL pipelines, APIs, and vector DBs (Chroma, Pinecone, Azure AI Search). - Understanding of Architecture principles including cloud-native, microservices, event-driven systems, Kubernetes, Docker, and CI/CD. In this role, you will have the opportunity to: - Drive end-to-end AI/GenAI transformation across global BFSI clients. - Lead high-impact AI innovation and modernization programs. - Work with cutting-edge AI ecosystems and enterprise-grade LLM deployments.,