You will lead the technical delivery and deployment of AI safety and observability products within complex enterprise Kubernetes environments. This hands-on role involves owning the end-to-end implementation for strategic customers, from initial architecture discovery to production rollout, ensuring reliable and secure AI operations for major financial and healthcare institutions.
Lead Forward Deployed Engineer at well-funded AI infrastructure startup
You’ll be hands-on with Kubernetes and Terraform, deploying critical AI safety and observability tools into the complex environments of major financial and healthcare organizations. This is a unique opportunity to bridge the gap between advanced AI development and enterprise-grade production readiness, working at the forefront of the AI revolution in a high-impact, individual contributor role based in London. Help the world's most regulated industries deploy AI with confidence and security.
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Location
London, United Kingdom
Compensation
Not Disclosed
Company
Confidential company
Role overview
About the company
Well-funded AI infrastructure startup
What you will do
- Lead full-lifecycle technical deployments of AI products into customer-controlled Kubernetes environments including EKS, AKS, and GKE.
- Configure production-grade Helm releases, networking, identity management, and observability stacks for high-security enterprise clients.
- Partner directly with customer infrastructure and security teams to translate complex requirements into scalable and resilient deployment architectures.
Who this is a fit for
- 5+ years of experience in infrastructure, platform, or DevOps engineering with a strong focus on production Kubernetes.
- Deep hands-on expertise with Helm and infrastructure-as-code tools like Terraform to automate complex software deliveries.
- Proven ability to debug distributed services, networking, and security dependencies within customer-owned cloud or hybrid environments.
Why this role is remarkable
- Direct ownership over how global enterprises safely adopt and operationalize AI at scale.
- Well-funded Series A startup backed by top-tier VCs with significant market traction.
- High-impact IC role with the autonomy to shape deployment methodologies and product evolution.
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