Chief Architect

Join Legion Technologies, an innovative company building the AI-powered operating system for the hourly workforce. As the Chief Architect, you will be the senior hands-on technical leader, shaping the technical foundation for the next decade of product innovation. You will own architecture and technical decision-making for the most complex parts of Legion's Workforce Management platform, including AI, optimization, forecasting, scheduling, distributed systems, data platforms, real-time decisioning, enterprise scalability, security, compliance, and developer productivity. This is a hands-on role that requires deep technical expertise and the ability to make high-consequence architecture decisions.

• Assumer la responsabilité de l'architecture et de la prise de décision technique pour les parties les plus complexes de la plateforme de gestion de la main-d'œuvre de Legion, y compris l'IA, l'optimisation, la prévision, la planification, les systèmes distribués, etc.
• Définir et posséder l'architecture à long terme de la plateforme de gestion de la main-d'œuvre alimentée par l'IA de Legion, en établissant des normes d'ingénierie pour la conception des systèmes, la scalabilité, la performance, la fiabilité, etc.
• Architecturer des capacités de produit natives à l'IA à travers la prévision, la planification, l'optimisation de la main-d'œuvre, les recommandations, etc.
• The ideal candidate has built and scaled mission-critical software used by large enterprise customers, has deep technical credibility with senior engineers, and can operate fluidly between code-level decisions and long-term platform strategy
• They are pragmatic, decisive, opinionated, and comfortable making hard tradeoffs when simplicity, scalability, reliability, or customer trust require it
• Deep hands-on experience with large-scale distributed systems, cloud-native architecture, data platforms, APIs, event-driven systems, platform engineering, and high-availability production environments
• Experience building or supporting AI, ML, optimization, decisioning, forecasting, or data-intensive products in production
• Experience modernizing large production systems incrementally while maintaining uptime, backward compatibility, customer trust, and engineering velocity
• Proven ability to operate as a hands-on technical leader who can credibly engage in code-level and design-level discussions with senior engineers
• Strong understanding of observability, incident response, performance engineering, reliability architecture, capacity planning, and operational excellence
• Ability to communicate complex technical concepts clearly to engineering teams, executives, customers, and cross-functional partners
• Demonstrated success designing and scaling mission-critical, multi-tenant SaaS platforms for enterprise customers
• 15+ years of experience building and scaling large-scale software systems.Prior experience as a Chief Architect, Distinguished Engineer, Principal Architect, very senior Principal Engineer, or equivalent senior technical leadership role
• Experience making major architecture decisions for systems with high scale, high reliability requirements, complex domain logic, and long product lifecycles
• Strong experience with cloud platforms such as AWS, GCP, or Azure
• Ability to reason deeply about tradeoffs involving performance, latency, throughput, cost, reliability, developer productivity, extensibility, and maintainability
• Strong experience with modern engineering practices, including architecture reviews, design documents, code reviews, testing strategy, deployment architecture, observability, and production operations
• Experience with languages such as Java, Kotlin, Go, Python, Scala, or similar modern backend languages
• Deep expertise in distributed systems, system design, cloud architecture, service-oriented or microservices architectures, APIs, event-driven systems, and large-scale data processing
• Strong product and business judgment; able to connect architecture decisions to customer outcomes, implementation speed, product differentiation, and company strategy
• Demonstrated ability to make bold technical decisions with incomplete information and drive alignment across senior technical and executive stakeholders
• Strong architectural judgment: knows when to simplify, when to re-platform, when to tolerate debt, and when to force a hard technical reset
• Pragmatic builder mindset: balances long-term architecture with startup speed, customer urgency, and execution realities
• Ability to influence without relying on hierarchy, while still being willing to make clear decisions when consensus is insufficient
• Experience building platforms used by millions of users or supporting very large-scale enterprise operations
• Experience at companies known for large-scale distributed systems, AI, cloud infrastructure, enterprise SaaS, workforce management, supply chain, fintech, commerce, logistics, or other complex operational domains
• Familiarity with optimization engines, scheduling algorithms, forecasting systems, constraint solvers, real-time decision systems, or mathematically complex production systems
• Experience architecting AI-native product capabilities, including LLM-enabled workflows, AI agents or copilots, model evaluation, retrieval systems, feedback loops, and production monitoring
• Experience building internal developer platforms, platform infrastructure, data platforms, ML pipelines, or large-scale analytics systems
• Experience designing highly configurable enterprise platforms without creating unbounded customization or implementation complexity
• Experience participating in strategic customer architecture reviews or technical due diligence with large enterprise customers
• Bachelor’s or Master’s degree in Computer Science or a related technical field; PhD a plus but not required
• The strongest candidate will be a deeply technical, hands-on architect who still has the range to shape company-level technical direction
• They are not a generic enterprise architect, process owner, or strategy-only leader. They are a builder and technical decision-maker who can personally engage with Legion’s hardest problems and earn the respect of the strongest engineers in the company
• Startup speed and enterprise-grade rigor
• They should be opinionated but not dogmatic, decisive but not reckless, and pragmatic without accepting mediocrity. They should be able to simplify complex systems, identify the real technical risks, and force clarity where teams are stuck in ambiguity
• They should be comfortable moving between:
• Long-term platform strategy and immediate technical execution
• AI innovation and production reliability
• Product ambition and technical feasibility
• Code and architecture