Site Reliability Architect - AI Platforms

We are seeking a highly skilled Site Reliability Architect - AI Platforms to lead the design, scalability, reliability, and operational excellence of next-generation AI and cloud platform ecosystems. This role combines deep expertise in Site Reliability Engineering (SRE), cloud-native architecture, automation, observability, and AI platform technologies to ensure highly available, resilient, and performant services at enterprise scale.

The ideal candidate will be a hands-on technical leader who can architect platform solutions, establish reliability best practices, and drive automation strategies across complex distributed systems. You will collaborate closely with engineering, platform, cloud, Dev Ops, and AI teams to build and maintain robust environments that support mission-critical applications and emerging AI capabilities.

* Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

As a Site Reliability Architect - AI Platforms
, you will be responsible for defining and implementing reliability strategies for cloud-native and AI-enabled platforms. You will serve as a technical authority for platform architecture, resiliency, observability, automation, and performance optimization while working across multiple engineering disciplines.

This role requires a strong architectural mindset combined with hands-on technical expertise. You will partner with stakeholders to design scalable infrastructure solutions, improve operational efficiency through automation, establish service reliability standards, and support the deployment and operation of modern AI and machine learning workloads.

Success in this role requires experience designing highly available distributed systems, deep knowledge of cloud platforms and containerized environments, and a passion for building resilient, scalable, and automated technology ecosystems that enable innovation while maintaining operational excellence.

• Design and implement highly reliable AI platform architectures on VMware Cloud on AWS that support mission critical Site Core applications for enterprise scale digital experiences and healthcare services.
• Optimize Core Java based services and Site Core integration layers to ensure consistent performance, rapid response times and stable operation across hybrid cloud environments.
• Develop and maintain robust CI CD pipelines tailored for Site Core workloads so that code changes, configuration updates and content deployments are delivered safely and efficiently.
• Establish reliability engineering practices including automated monitoring, alerting and incident response workflows to reduce downtime and increase platform availability.
• Analyze production issues across AI components, Site Core, VMware Cloud on AWS and Core Java microservices to identify root causes and implement durable fixes that prevent recurrence.
• Collaborate with AI developers, Site Core engineers and cloud operations teams to align reliability objectives with product goals, regulatory requirements and business priorities.
• Implement capacity planning, performance benchmarking and resource optimization strategies on VMware Cloud on AWS to support growth in users, data and AI workloads without service degradation.
• Define and enforce coding standards, configuration baselines and deployment patterns in Core Java and CI CD processes to improve consistency, security and operational efficiency.
• Guide teams in adopting site reliability engineering practices such as error budgets, service level objectives and continuous improvement cycles that directly enhance customer experience.
• Integrate observability tools and telemetry into AI pipelines and Site Core solutions to provide clear…