Senior AI Platform Engineer: Production AI for Front Office

UBS; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

UBS in London seeks an experienced AI/ML engineer to design and deliver production-grade AI systems for front-office platforms. You will build a Unified Knowledge Layer, governance for prompts and skills, and AI-first APIs across core platform services while collaborating with quant developers, DevOps, and platform teams.

You will apply vector search, RAG and agent frameworks to deploy autonomous AI agents for operational issues, incidents and automation workflows in a fast-moving trading

Qualifications

• 5+ years of experience in software engineering, AI engineering or ML engineering.
• Strong Python development skills and 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

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.

Skills

Python

LLMs

RAG

Agent frameworks

Prompt engineering

Tool calling

Context engineering

APIs

Microservices

Cloud-native

Vector search

Semantic retrieval

Kubernetes

Docker

GitLab CI/CD

Observability

Security & governance

Tools

Kubernetes

Docker

GitLab CI/CD

Job description

UBS in London seeks an experienced AI/ML engineer to design and deliver production-grade AI systems for front-office platforms. You will build a Unified Knowledge Layer, governance for prompts and skills, and AI-first APIs across core platform services while collaborating with quant developers, DevOps, and platform teams.

You will apply vector search, RAG and agent frameworks to deploy autonomous AI agents for operational issues, incidents and automation workflows in a fast-moving trading