AI/ML Architect

5 days ago

Pune, India Intellect Design Arena Ltd Full time

About the Role:We’re looking for a Technology Leader in AI/ML and Generative AI with strong experience in architecting, designing, and delivering enterprise-grade AI platforms. The ideal candidate will combine deep hands-on expertise in LLMs, RAG, Agentic AI, and Azure AI Services with enterprise architecture and engineering leadership skills.You will drive the AI-first transformation journey for large enterprises, build AI-powered digital expert systems, and lead 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.- Design and productionize AI-powered systems for Banking use cases such as onboarding, payments, and cash management.- 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 (OpenAI, Anthropic, Mistral, Azure OpenAI, GCP Vertex AI).- Collaborate with product and business leaders to align AI initiatives with enterprise strategy and measurable ROI.Technical Skills & Expertise:- Generative AI & LLMs: GPT-4, LLaMA, Claude, RAG, Agentic AI, LangChain, LangGraph, LlamaIndex- AI/ML Engineering: Deep Learning, NLP, Python, FastAPI, MLFlow, PyTorch, TensorFlow, Keras- Cloud & Platform Engineering: Azure AI Services, Azure OpenAI, Synapse, Azure ML Studio, AWS, GCP- Data & Integration: Kafka, ETL pipelines, APIs, vector DBs (Chroma, Pinecone, Azure AI Search)- Architecture: Cloud-native, microservices, event-driven systems, Kubernetes, Docker, CI/CDWhy Join:- 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

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