Enterprise Platform Architect (AI)

Location: Palo Alto, CA; hybrid working model

Company

hirify.global builds enterprise AI platforms for Fortune 1000 companies, focusing on accuracy, reliability, security, scalability, and cost efficiency.

What you will do

• Define measurable availability, resilience, recovery, throughput, concurrency, latency, storage, document-size, model-capacity, and cost targets.
• Architect failure handling across infrastructure, APIs, databases, external dependencies, and AI models, including redundancy, failover, retries, timeouts, graceful degradation, and recovery.
• Identify single points of failure, architectural bottlenecks, performance constraints, and cost drivers; drive remediation and validate enterprise production readiness.
• Lead capacity planning across compute, storage, databases, networking, and AI infrastructure.
• Establish resilience, recovery, load, stress, endurance, and performance-testing standards with clear production metrics.
• Optimize model selection, routing, caching, batching, reuse, infrastructure utilization, and workload placement across LLMs, ML, code, smaller models, and deterministic systems.

Requirements

• 10+ years of experience architecting and building enterprise SaaS platforms or similarly complex production systems.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Deep expertise in distributed systems, reliability, scalability, performance, and cloud architecture.
• Strong experience with Azure or other hyperscale cloud platforms.
• Strong understanding of databases, APIs, networking, storage, containers, and distributed compute.
• Familiarity with AI/LLM infrastructure, model APIs, inference architectures, and AI economics.
• Experience with observability, load testing, capacity planning, resilience engineering, and disaster recovery.
• Ability to make architectural tradeoffs across reliability, performance, complexity, and cost.
• Ability to lead architecture and drive execution across multiple engineering teams.

Culture & Benefits

• Hybrid working model supporting work-life balance.
• Professional development and opportunities for leadership growth.
• Work on transformative AI technologies and enterprise-scale systems.
• Compensation tailored to experience and skill set.