Job Summary:ABOUT THE ROLE
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
• 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.
Job Description:Role ResponsibilitiesPLATFORM & INFRASTRUCTURE OWNERSHIP - 35%- 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.
DEVOPS & TECHNICAL OPERATIONS - 25%- 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.
AI PLATFORM & INNOVATION ENABLEMENT - 20%- 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.
ARCHITECTURAL GOVERNANCE & TECHNICAL DIRECTION - 10%- 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.
CROSS-FUNCTIONAL PARTNERSHIP - 10%- 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.
- Ability 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.
Worker Type:Regular
Number of Openings Available: 1
