We are looking for a Senior AI Platform Engineer to help build and scale an AI-native enterprise platform where machine learning models, retrieval systems, AI agents, and intelligent applications operate as reliable production services.
This is a hands-on senior engineering role focused on taking AI from experimentation into scalable, secure, observable, and production-ready systems.
What you’ll do
Design and build platform capabilities for deploying and operating production AI systems
Develop automated pipelines for model deployment, packaging, versioning, testing, rollout and rollback
Build evaluation frameworks covering model quality, retrieval performance, latency, cost and business outcomes
Implement observability across models, inference services, retrieval pipelines and AI agents
Partner with ML Engineers to productionise models and improve deployment reliability
Work with Platform Engineering on infrastructure, scaling, security and resilience
Support A/B testing, canary releases and progressive deployments
Implement governance around reproducibility, versioning, auditability and compliance
Automate operational processes and improve engineering productivity
Contribute to modern agentic AI development and delivery practices
What we’re looking for
Strong experience operating production ML or AI platforms
Solid software engineering background with experience in automation and operational tooling
Experience with cloud-native infrastructure, containers and distributed systems
Deep understanding of CI/CD, Infrastructure as Code and release automation
Strong knowledge of observability, monitoring, logging, metrics and tracing
Understanding of the ML/AI lifecycle, deployment strategies and production evaluation
Experience working across ML, Platform, Data and Product Engineering teams
Strong troubleshooting skills with a focus on reliability and operational excellence
Ability to simplify complex environments through automation and reusable platform capabilities
Ideal backgroundMLOps / AI Platform Engineering / Cloud Platform Engineering / DevOps for ML / AI Infrastructure
If you have experience building the infrastructure that takes AI and ML systems into reliable enterprise production, I’d be happy to hear from you.
By applying for this role, you consent to SGI contacting you by telephone regarding recruitment services, market updates, and relevant business opportunities
We believe in equal opportunity for all and actively encourage applications from diverse backgrounds, experiences, and perspectives. Source Group International Ltd is acting as an Employment Business in relation to this vacancy
Job DescriptionOur Global Investment Bank client are looking for a DevOps Engineer with a strong background in Ransomware Protection and Recovery. This role will cover multiple teams within the Bank a
For our customer a major implementation partner we are looking for an Orchestrade Business Analyst - ideally with experience in the Commodities Domain Role is remote from Europe, German and French spe
E2E CSV/C&Q Lead
We are seeking an experienced E2E CSV/C&Q Lead to define, coordinate, and deliver the integrated qualification and validation strategy for a large-scale Operations Data Hub (ODH) pr
Test Manager (m/w/d)
Standort: Grossraum Zürich
Anstellungsart: Festanstellung
Pensum: 100%
Deine Aufgaben
Du entwickelst das Testmanagement strategisch und operativ weiter und gestaltest aktiv unt