Principal AI Platform Architect

Summary

Join Kaseya, a leading provider of IT infrastructure and security management solutions, as a Principal AI Platform Architect. This 100% remote position involves defining the architectural vision for a resilient, intelligent, and hyper-scalable AI platform. You will make foundational technology decisions, lead the design of cloud-native systems and secure APIs, and ensure platform adaptability and high performance. The role requires strong technical leadership, excellent communication, and collaboration with various teams. You will present architectural strategies to executive leadership and mentor engineers. Kaseya offers a unique and rewarding work environment.

Requirements

• Strong technical leadership with the ability to influence architectural direction across cross-functional teams
• Excellent communication skills with the ability to translate complex architecture into actionable plans
• Collaborative mindset and experience mentoring engineers
• Expert in cloud-native architectures (AWS, Azure, or GCP), microservices, event-driven patterns, and API design (REST, gRPC, GraphQL)
• Advanced knowledge of data governance and modeling for AI (e.g., feature stores, knowledge graphs, data lakes/lakehouses)
• Deep experience in AI/ML infrastructure design (compute, storage, networking)
• Proficiency in infrastructure-as-code (Terraform, Pulumi) and designing for observability
• Strong understanding of LLM deployment patterns, vector stores, and feature stores
• Experience implementing zero-trust networks, RBAC, encryption, and key management
• Proven ability to design for 99.99% uptime in distributed systems
• Bachelor's or Master's degree in Computer Science, Software Engineering, or related field
• 7-10+ years designing complex, distributed systems for high availability and scalability

Responsibilities

• Architect the foundational infrastructure for a next-generation AI platform, ensuring scalability, resilience, and intelligence
• Make critical technology decisions across cloud, data, and AI infrastructure to support long-term innovation
• Design microservices ecosystems, event-driven systems, and secure APIs for seamless agentic AI operations
• Lead architectural reviews, enforce best practices, and ensure alignment with business and technical goals
• Collaborate with engineering, product, and security teams to ensure platform adaptability, compliance, and performance
• Drive adoption of infrastructure-as-code, observability, and zero-trust security principles across the platform
• Present architectural strategies to executive leadership and align them with business objectives
• Mentor engineers and foster a culture of architectural excellence

Preferred Qualifications

• Certifications in Cloud Architecture (AWS, Azure, or GCP)
• Additional certifications in Security Architecture, DevSecOps, or Data Engineering
• Experience with federated learning, confidential computing, and privacy-enhancing technologies
• Expertise in multi-region deployments and disaster recovery for AI platforms
• Familiarity with compliance standards (e.g., SOC 2, ISO 27001, HIPAA)
• Experience building real-time data pipelines for AI
• Knowledge of quantum-resistant cryptography and graph-based data modeling

Benefits

This position is 100% remote