Chief Architect

Role overview

Chief Architect at Legion Technologies is a senior, hands-on technical leadership role responsible for the long-term technical foundation of the AI-powered Workforce Management platform. You will own architecture and high-consequence technical decision-making for the system’s most complex domains, including AI, optimization, forecasting, scheduling, distributed systems, and data/real-time decisioning.

Key missions

• Take ownership of architecture and technical decision-making for the platform’s most complex components (AI, optimization, forecasting, scheduling, distributed systems, and more).
• Define and own the platform’s long-term architecture, setting engineering standards for scalability, performance, reliability, and system design.
• Architect native AI product capabilities such as forecasting, planning, workforce optimization, and recommendations.

Responsibilities

• Operate as a credible technical leader across both code-level discussions and long-term platform strategy.
• Make hard tradeoffs balancing simplicity, scalability, reliability, latency/throughput, cost, maintainability, and developer productivity.
• Drive engineering practices including architecture reviews, design docs, code reviews, testing strategy, deployment architecture, and observability/production operations.

Requirements

• 15+ years building and scaling mission-critical software used by large enterprise customers.
• Proven experience as a hands-on technical leader (e.g., Chief Architect / Distinguished Engineer / Principal Architect or equivalent).
• Deep hands-on expertise in large-scale distributed systems, cloud-native architecture, data platforms, APIs, event-driven systems, and high-availability production environments.
• Production experience with AI/ML, optimization, decisioning, forecasting, or other data-intensive products.
• Ability to modernize large production systems incrementally while maintaining uptime, backward compatibility, customer trust, and engineering velocity.
• Strong understanding of observability, incident response, performance engineering, reliability architecture, capacity planning, and operational excellence.
• Experience designing and scaling mission-critical multi-tenant SaaS for enterprise customers.
• Strong communication skills with engineering teams, executives, customers, and cross-functional partners.
• Cloud platform experience with AWS, GCP, or Azure.

Nice to have / additional skills

• Experience with backend languages such as Java, Kotlin, Go, Python, Scala, or similar.
• Deep expertise in microservices/service-oriented architectures, large-scale data processing, and system design.
• Experience spanning long product lifecycles with complex domain logic.

Remote

Full remote.