Director, AI Innovation and Infrastructure

Role Responsibilities

• Own RRS’s cloud architecture, infrastructure, and runtime environments.
• Lead our new multi-tenant platform and the modernization efforts of existing applications.
• Ensure high availability, scalability, disaster recovery, and security.
• Define and maintain infrastructure and platform standards.
• Lead DevOps and TechOps functions.
• Own CI/CD pipelines, deployment automation, observability, and monitoring.
• Ensure strong operational readiness, incident response, and on-call practices.
• Reduce operational risk while improving deployment velocity.
• Lead AI experimentation, new product development, and platform enablement.
• Build infrastructure and tooling to support AI/ML workflows, data pipelines, and model deployment.
• Partner with Customer Experience to operationalize our products' AI features safely and responsibly.
• Stay current with AI advancements and assess their applicability to RRS’s platform.
• Define the long-term technical strategy in partnership with leadership.
• Review and approve architectural changes that impact scalability or reliability.
• Reduce systemic technical debt and complexity across the platform.
• Ensure consistency across services, environments, and integrations.
• Work closely with Customer Experience to support feature delivery.
• Partner with Operations on cross-cutting initiatives.
• Support Customer Experience and Professional Services with platform-level insights and improvements.

Experience & Education

• 10+ years of engineering experience, including 5+ years in senior technical leadership.
• Deep expertise in cloud platforms, distributed systems, and SaaS infrastructure.
• Experience supporting AI/ML platforms or large-scale data systems.
• Strong background in DevOps, reliability engineering, and security.
• Able to balance innovation with operational excellence.
• Knowledge, Skills, and Abilities: Strong leadership and people-management skills; deep understanding of SaaS architecture, microservices, cloud-native engineering, and event-driven systems; ability to drive technical execution and deliver high-quality software at scale; excellent communication skills and the ability to translate between business and technical domains; passion for emerging technologies, AI/ML, and continuous improvement; strong analytical and strategic thinking skills.