AI Engineer

Do you want to shape how UBS uses intelligent systems to support and empower its global workforce? Are you ready to turn cutting-edge AI into real-world impact.

At UBS, we re-imagine the way we work, the way we connect with each other – our colleagues, clients and partners – and the way we deliver value. Being agile will make us more responsive, more adaptable, and ultimately more innovative.

We’re looking for an AI Engineer to:

• design and develop AI-powered services that enhance the employee experience at UBS.
• integrate and optimize large language models and intelligent systems using Azure OpenAI and other cloud-native tools.
• apply advanced AI patterns like Retrieval-Augmented Generation (RAG), Agentic RAG, and Functional Calling to real-world HR use cases.
• engineer robust pipelines for prompt design, context handling, embeddings, and real-time data integration.
• evaluate and fine-tune model performance to ensure relevance, fairness, and explainability.
• collaborate with cross-functional teams to deliver secure, scalable, and human-centric AI solutions.
• contribute to the evolution of our AI engineering practices and help shape UBS’s future of work.

UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.

At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.

We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.

Your expertise

• understanding of NLP - Transformers, embeddings and earlier models (e.g. tf-idf).
• good understanding of GPT-token and latency analytics, budget guardrails.
• sound understanding of guardrails, prompt fuzzing, adversarial & bias testing.
• understanding of alignment & feedback would be a plus e.g. RLHF/RL from AI Feedback (RLAIF), synthetic data generation, continuous human-in-the-loop review loops.
• experience in prompt engineering, context engineering, vector databases, embedding/chunking strategies, and real-time data integration.
• experience in evaluating model output and optimization
• proficiency in programming languages and experience with AI/ML frameworks like Spring AI, LangChain, LangGraph, LlamaIndex, Agno, Pydantic, TensorFlow etc.
• experience in AI application development, focusing on cloud-based AI model integration, deployment, and optimization.
• hands-on experience with Azure Cloud Services for AI, including Azure OpenAI and Azure AI Search for developing and deploying AI applications at scale.
• proficiency in advanced AI architecture patterns, including Retrieval-Augmented Generation (RAG), Agentic RAG, MCP, Functional Calling, A2A especially in an Azure environment.
• a collaborative communicator — you express ideas clearly in English and adapt technical content for diverse audiences, while working closely with product managers, designers, and engineers in agile settings.
• a strong commitment to quality, maintainability, documentation, and continuous learning.
• Academic degree - a must have