Senior AI Site Reliability Engineer, AI.x

Job summary

Austin, TX Requisition ID 2026-122527 Category Engineering & Software Development Position type Regular Pay range USD $170,000.00 - $220,000.00 / Year Application deadline 2026-08-11 YOUR OPPORTUNITY At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients.

Benefits

Qualifications

• 8+ years of software engineering experience, with 4+ years as a hands-on Site Reliability Engineer in startups and/or large organizations.
• Bachelor’s degree in Computer Science or related field, or equivalent experience.
• 5+ years building complex products from scratch, running them in production, and ensuring operational reliability.
• 3+ years working with containers and cloud-native applications, operationalizing them in the public cloud with infrastructure as code and CI/CD pipelines.
• 3+ years of experience working in high-availability hybrid-cloud environments.
• Preferred
• Strong computer science fundamentals and experience across the
• Tech stack
• Experience with proprietary or open-source LLMs (e.g., Gemini, Claude, OpenAI), deploying LLM-powered applications to production and maintaining availability.
• Strong written and verbal communication

Responsibilities

• At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients.
• As a Senior Engineer on AI.x, you will play a key role in bringing these priorities to life by designing and delivering innovative AI solutions.
• As a Senior AI Site Reliability Engineer you will support reliability efforts for cutting-edge GenAI applications that enhance the client experience and create value.
• You will work closely with architects and engineers to ensure scalability, reliability and security of solutions that build towards an enterprise strategy.
• You will lead automation-first initiatives, build robust CI/CD pipelines for one-touch deployments, and implement comprehensive observability frameworks to minimize MTTD and MTTR.
• Above all, you will the rigor, discipline, and technical depth to help shape the next generation of AI at Schwab.
• Lead automation-first initiatives to eliminate toil and manual interventions, defining and executing the strategic roadmap for reliability, observability, and self-healing systems across AI.x platforms
• Design and implement robust CI/CD pipelines enabling one-touch deployments with automated testing, validation, and rollback capabilities to accelerate delivery velocity and reduce deployment risk
• Implement comprehensive observability frameworks for real-time monitoring of AI services, including metrics, logs, and traces, with intelligent alerting and automated diagnostics to minimize MTTD and MTTR
• Participate in on-call rotation providing 24/7 support for production AI systems, ensuring rapid incident response, root cause analysis, and resolution with measurable SLO targets
• Establish and manage Service Level Objectives (SLOs), Service Level Indicators (SLIs), error budgets, and incident response runbooks to drive continuous reliability improvements
• Champion Infrastructure-as-Code (IaC) practices and automate environment provisioning, configuration management, and deployment processes to ensure consistency, repeatability, and operational efficiency

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