- Singapore
UBS Hiring! Full Time Global Markets - Senior AI Platform Engineer in - Ricebowl
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Working Location
Job Description
Responsibilities
Singapore
Investment Banking
Investment Bank
Job Reference #
341914BR
City
Singapore
Job Type
Full Time
Key responsibilities
We are seeking a hands-on Senior AI Platform Engineer to design and deliver scalable AI solutions across our engineering ecosystem. The successful candidate will work at the intersection of AI, platform engineering, developer productivity and operations, developing agentic frameworks, AI-first APIs, autonomous agents and enterprise knowledge systems. This role will help build the next generation of AI-enabled engineering capabilities across our algo trading platforms, including agentic systems, AI-first APIs, autonomous operational agents and governed knowledge platforms.
Key Responsibilities
Key Responsibilities
- Design and implement a Unified Knowledge Layer for AI agents, including context management, indexing, retrieval, governance and distribution strategies.
- Evaluate and productionise approaches for context delivery, including MCP architectures, local retrieval models, indexed code repositories and distributed knowledge platforms.
- Establish governance processes for AI skills, prompts and reusable agent capabilities, including approval, versioning and deployment standards.
- Build and maintain a portfolio of AI-first APIs across platform services including our core platform components, KDB, Airflow, configuration services, observability tooling, storage platforms and alerting systems.
- Develop agentic applications, including conversational assistants and autonomous support agents capable of investigating operational issues, generating incident reports and proactively notifying stakeholders.
- Create reusable frameworks that enable engineering teams to deploy autonomous AI agents for use cases such as merge request reviews, remediation workflows and platform support.
- Build AI-enabled analytics capabilities over engineering and operational datasets, ensuring appropriate governance, entitlements and data controls.
- Define evaluation frameworks to measure AI solution accuracy, latency, cost, reliability and operational effectiveness across model and platform changes.
- Collaborate closely with platform engineers, quant-developers, DevOps and operational support teams to embed AI into engineering workflows.
Your Career Comeback
We are open to applications from career returners. Find out more about our program on *************
The team
You'll be working in the Principal Algorithmic Trading team in Singapore, reporting into Head of Principal E-Trading Algo Engineering. Diversity helps us grow, together. That’s why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.
Your skills and experience
Required Skills & Experience
- 5+ years' experience in software engineering, AI engineering or machine learning engineering.
- Strong Python development skills and experience building production-grade distributed systems.
- Hands-on experience with LLMs, RAG, agent frameworks, prompt engineering, tool calling and context engineering.
- Experience designing APIs, microservices and cloud-native applications.
- Knowledge of vector search, semantic retrieval, indexing strategies and knowledge management architectures.
- Experience with Kubernetes, Docker, GitLab CI/CD and modern software delivery practices.
- Familiarity with observability and monitoring platforms such as Grafana, Loki, Splunk, Prometheus and OpenTelemetry.
- Strong understanding of security, governance and operational controls for enterprise AI systems.
- Experience with Model Context Protocol (MCP) implementations.
- Experience with KDB+/q/ClickHouse/StarRocks/DuckDB, Airflow or large-scale data platforms.
- Knowledge of autonomous AI agents and multi-agent architectures.
- Experience in electronic trading, quantitative platforms or financial technology environments.
- You’re curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment – validating outputs and aligning with policies, risk standards, and ethical use.
About us
UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.
We know that great work is never done alone. That’s why we place collaboration at the heart of everything we do. Because together, we’re more than ourselves. Want to find out more? Visit *************
Join us
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. And we use artificial intelligence (AI) to work smarter and more efficiently. 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.
Contact Details
UBS Business Solutions SA
UBS Recruiting
Disclaimer / Policy statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
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