DE&A - AIML - Deep Learning - Generative AI

Design and develop enterprise-grade Generative AI and Agentic AI solutions. • Build AI-powered assistants, copilots, and intelligent workflow automation platforms. • Implement and optimize: Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Multi-Agent Systems, Semantic Search architectures • Develop AI orchestration frameworks for autonomous and collaborative AI agents. • Build scalable AI pipelines and microservices using Python and modern AI frameworks. • Design vector search and enterprise knowledge retrieval solutions. • Fine-tune prompts, optimize inference performance, and improve AI response quality. • Develop secure API integrations and event-driven AI architectures. • Collaborate with product, architecture, security, and engineering teams. • Ensure responsible AI governance, security, compliance, and observability standards. • Support deployment, monitoring, and continuous improvement of AI systems in production Experience building enterprise AI copilots and autonomous AI agent platforms. • Background in Financial Services, Cards & Payments, Fraud & Disputes, or Customer Servicing domains. • Experience with conversational AI, intelligent automation, and enterprise search solutions. • Exposure to highly regulated enterprise environments. • Strong stakeholder communication and architecture leadership skills. Tools & Technologies AI & GenAI - OpenAI, Azure OpenAI, Anthropic Claude, Hugging Face, LangChain, LangGraph, LlamaIndex, Transformers AI/ML & NLP - Python, PyTorch, TensorFlow, Scikit-learn, NLP, Prompt Engineering, AI Agents, RAG Pipelines Vector & Search Technologies - Pinecone, Weaviate, FAISS, ChromaDB, Elasticsearch, OpenSearch Cloud & DevOps - AWS, Azure, GCP, Docker, Kubernetes, Jenkins, GitHub Actions, Azure DevOps Integration Technologies - REST APIs, Microservices, Kafka, JSON/XML, API Gateway Monitoring & Observability - Splunk, Dynatrace, Prometheus, Grafan