About the job
Senior AI Architect
🟣 Hiring | Senior AI Architect | Zurich | Leading Private Bank
The Role This is an enterprise AI architecture leadership role with a strong governance remit. You'll define and own the AI architecture across the firm — setting the technical direction for LLM and agent-based systems, establishing the standards and guardrails that make them work safely in a regulated environment, and ensuring the platforms that support them are secure, scalable and auditable.
You'll work closely with Security, Risk, Compliance, Legal and IT. You'll lead architecture and design reviews, mentor senior engineers, and run the AI Developer Guild to raise engineering standards firm-wide. You'll also engage directly with the Microsoft product team on roadmap discussions.
This is not a hands-on build role day-to-day — but you must have done the hands-on work to credibly lead it.
What You'll Be Doing
Own and continuously evolve the enterprise AI architecture across the firm
Design LLM, RAG and agent-based AI systems — with a clear understanding of Private Link network constraints and their impact on RAG architecture
Define and implement governance frameworks for AI agents — including agent monitoring, cataloguing and prevention of private data exposure
Lead architecture and design reviews; produce reference implementations where needed
Establish best practices across Azure AI Foundry, Copilot Studio and Power Platform
Work across low-code and pro-code lifecycles — Power Platform, Power Automate and pro-code Python development
Oversee containerised deployment patterns — OpenShift and Kubernetes
Collaborate with Security, Risk and Compliance to ensure all AI solutions meet regulatory and model-risk requirements
Maintain oversight of analytics tooling — Power BI and on-prem Tableau
Lead the AI Developer Guild and raise engineering capability across the organisation
Manage senior stakeholders and own elements of project and process governance
What We're Looking For
8+ years in software engineering; several in architecture or technical leadership
Delivered production-grade LLM solutions — not just designed them
Deep hands-on experience across Azure AI Stack — Azure AI Foundry and Copilot Studio are non-negotiable
Strong RAG architecture experience — including understanding of networking constraints such as Private Link
Proven AI governance experience — agent monitoring, cataloguing, data exposure prevention
MLOps and AI platform engineering — model lifecycle, prompt management, drift detection, auditability
Containerisation — OpenShift and/or Kubernetes
IaC — Terraform
CI/CD, observability and secure cloud-native architecture on Azure
Experience working in regulated enterprise environments — FINMA awareness a strong advantage
Power BI and on-prem Tableau familiarity
Strong stakeholder management and communication — you can present complex technical topics to non-technical audiences
Python as your primary language
📍 Zurich
🏦 Regulated banking
FINMA-aware candidates an advantage
🗣️ English essential | German a strong plus
Interested or know someone who is? Drop me a message.
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