Director, AI Innovation & Infrastructure

Red River Software•United States - TX, TX

About The Position

The Director, AI Innovation & Infrastructure is responsible for Red River Software’s technical foundation and future readiness. This role owns cloud infrastructure, platform architecture, DevOps & TechOps, reliability, scalability, and security, and AI enablement and innovation platforms. The Director ensures the platform can scale globally, support complex hardware-integrated workflows, and enable rapid experimentation and deployment of AI-driven capabilities.

Requirements

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.
Ability to balance innovation with operational excellence.
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.

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.