Principal AI Engineer

Risepoint is building a multi-component AI platform for university partners, focusing on real-time orchestration, machine learning, and student engagement workflows. The role involves leading the technical architecture and platform standards to support scalable, reliable, and compliant cloud-native infrastructure.

Location: Remote (US)

Responsibilities

• Lead the architecture and evolution of cloud-native infrastructure for the Student Journey Platform, including services and integrated platforms like Salesforce, DBX, Marketing sites, Azure AI Foundry.
• Establish and promote architecture standards within the platform scope, including service mesh, autoscaling, resource governance, API contracts, and container orchestration.
• Design and implement platform components ensuring resilience, observability, and security for asynchronous AI workloads.
• Align platform architecture with business growth and scalability needs, collaborating with stakeholders.
• Present architecture proposals to the Architecture Review Board for approval, ensuring standards for SLAs, security, compliance, and scalability.
• Identify and resolve architectural risks early, working across teams.
• Debug and resolve production issues related to infrastructure or architecture.
• Implement and manage real-time event streaming pipelines supporting high-volume AI workloads.
• Design and manage multi-tenant cloud infrastructure with compliance and data isolation requirements.

Requirements

• 8+ years of software engineering experience with progression into architecture ownership, including hands-on experience with Kubernetes (AKS preferred), Docker, and distributed systems at scale.
• Experience setting technical direction across engineering teams, defining standards, and influencing architecture decisions.
• Deep experience with autoscaling, resource governance, and cost management in cloud environments (Azure preferred).
• Proficiency in translating business requirements into infrastructure architecture, capacity planning, SLA definition, and communication with non-technical stakeholders.
• Proficiency in Python, C#, Java, or similar languages, with strong object-oriented fundamentals.