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UBS

Global bank and wealth management group

Senior AI Platform Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of 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 large language models, retrieval-augmented generation, 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.

Responsibilities

  • Design and implement a Unified Knowledge Layer for AI agents, including context management, indexing, retrieval, governance, and distribution strategies.
  • Evaluate and productionize approaches for context delivery, including Model Context Protocol 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 AI-first APIs across platform services, including core platform components, KDB, Airflow, configuration services, observability tooling, storage platforms, and alerting systems.
  • Develop agentic applications, including conversational assistants and autonomous support agents that investigate operational issues, generate incident reports, and proactively notify 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 with platform engineers, quant developers, DevOps, and operational support teams to embed AI into engineering workflows.

Desired Qualifications

  • Experience with Model Context Protocol 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.

About the Company

UBS

Global bank and wealth management group

UBS is a Swiss multinational bank and the world’s largest wealth manager. It serves private, corporate, and institutional clients worldwide through four divisions—Global Wealth Management, Personal & Corporate Banking, Asset Management, and Investment Bank—offering services from investment advice and portfolios to everyday banking and lending. Its size and diversified business lines set it apart, and its 2024 merger with Credit Suisse expanded its client base and capabilities. The goal is to grow client assets, provide comprehensive financial solutions, and maintain profitability across a global network.

Company size
10,001+
Company stage
IPO
Headquarters
Zurich, Switzerland
Founded
1998

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