GenAI Engineer - Banking (m/f/d)

GenAI Engineer (Conversational AI, RAG & Agentic AI)Role OverviewWe are seeking a highly skilled GenAI Engineer to design, develop, and deploy enterprise-grade Generative AI solutions, with a strong focus on Conversational AI, Retrieval-Augmented Generation (RAG), and Agentic AI architectures.This role will be responsible for building intelligent AI-powered experiences that leverage large language models, knowledge retrieval systems, and multi-agent orchestration frameworks to solve complex business challenges. The successful candidate will work closely with business stakeholders, architects, data teams, and engineering teams to build scalable, secure, and production-ready AI solutions.The ideal candidate will possess strong AI/ML fundamentals, hands-on experience with modern GenAI frameworks, and expertise in designing agent-based systems capable of reasoning, collaboration, and task execution.Key ResponsibilitiesDesign, develop, and deploy enterprise-grade Generative AI and Conversational AI solutions Build and optimize RAG (Retrieval-Augmented Generation) architectures to enhance AI response accuracy and grounding Develop and manage document and data ingestion pipelines for knowledge retrieval systems Design and implement vector search solutions using embeddings and vector databases Develop intelligent conversational experiences, chatbots, copilots, and virtual assistants Design and implement Agentic AI architectures, including autonomous and collaborative agent workflows Build and manage orchestrator-based multi-agent systems for complex task execution and decision-making Implement agent governance mechanisms, including agent registries and agent lifecycle management Develop and support Agent-to-Agent (A2A) communication protocols and agent collaboration frameworks Define customer journeys, user goals, intent classification, and routing strategies for conversational systems Collaborate with product, business, and engineering teams to translate requirements into AI-driven solutions Ensure AI solutions meet enterprise standards for scalability, reliability, security, and governance Contribute to AI model evaluation, prompt engineering, testing, and continuous improvement initiatives Required Skills & Qualifications Strong understanding of AI/ML fundamentals and Generative AI concepts Hands-on experience designing and implementing RAG architectures Experience working with:Embeddings Vector Databases Semantic Search Hybrid Search Architectures Experience building and managing document and data ingestion pipelines Strong expertise in Conversational AI development Proven experience designing and implementing Agentic AI solutions Experience with:Multi-Agent Systems Agent Orchestration Frameworks Agent Registries A2A (Agent-to-Agent) Communication Protocols Strong understanding of user journey mapping, goal-oriented workflows, and intent routing strategies Experience with Python and GenAI frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, or equivalent Knowledge of REST APIs, cloud-native architectures, and AI deployment best practices Strong analytical, problem-solving, and stakeholder management skills Preferred Skills & ExperienceExperience working with Azure OpenAI, AWS Bedrock, OpenAI, Anthropic Claude, or Google Gemini Knowledge of AI governance, guardrails, evaluation frameworks, and Human-in-the-Loop (HITL) patterns Experience with vector databases such as Pinecone, Weaviate, Qdrant, ChromaDB, or Azure AI Search Exposure to MCP (Model Context Protocol) and advanced agent tooling frameworks Experience deploying AI solutions within enterprise or regulated environments Understanding of MLOps, LLMOps, CI/CD, and observability frameworks Experience in banking, financial services, or large-scale digital transformation programmes is preferred GenAI Engineer - Banking in Abu Dhabi, United Arab Emirates