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Cognizant in Earth City, MO is seeking a Site Reliability Architect - AI Platforms to lead the design, scalability, reliability, and operational excellence of AI platform ecosystems. This role requires hands-on technical leadership and collaboration across AI, cloud, DevOps, and engineering teams to build resilient environments for enterprise-scale healthcare and digital experiences.
The role emphasizes reliability engineering practices, automated monitoring, and performance optimization across
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, DevOps, 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.
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 2 days a week in a client or Cognizant office in Earth City, MO. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Applications will be accepted until November 8th , 2026.
The annual salary for this position is between $105,000 - $167,500 depending on the experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, based on performance and subject to the terms of Cognizant’s applicable plans.