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Legion

Chief Architect

RemoteUnited States only
Published
Role
Engineering Management
Experience
Lead
$300k–$385k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Hands-on Chief Architect, senior technical leader with 15+ years experience, must be US-based (Remote, USA). Deep expertise in distributed systems, AI/ML production, optimization/scheduling, and enterprise multi-tenant SaaS architecture. Owns architecture and high-consequence technical decisions and will lead senior engineering talent.

Core skills

Distributed systemsAI/ML systemsOptimization & scheduling

Required skills

MicroservicesEvent-driven systemsAPIsData platformsModel trainingModel servingML pipelinesOptimization enginesScheduling algorithmsAWS/GCP/AzureJava/Kotlin/Go/Python/ScalaObservabilityReliability engineeringSecurityCompliancePerformance engineeringCapacity planning

Optional skills

LLMsRetrieval systemsOptimization solversConstraint solversAI agents / copilotsInternal developer platformsLarge-scale analytics

What you'll do

  • Serve as Legion’s senior-most hands-on technical authority for complex architecture, system design, and platform evolution.
  • Personally dive into code, design documents, production incidents, performance bottlenecks, and implementation tradeoffs to diagnose root causes and guide technical direction.
  • Lead the hardest technical decisions across AI systems, optimization engines, distributed systems, data architecture, reliability, scalability, security, and platform modernization.
  • Write prototypes, reference implementations, architecture decision records, technical specifications, and design patterns where needed to unblock teams and establish clear direction.
  • Make high-consequence technical decisions with incomplete information, balancing correctness, simplicity, speed, scalability, reliability, cost, and long-term maintainability.
  • Challenge architectural drift, unnecessary complexity, weak abstractions, and short-term decisions that create long-term platform risk.
  • Partner directly with Staff, Principal, and senior engineering leaders in design reviews, code-level discussions, and implementation planning.
  • Define and own the long-term architecture for Legion’s AI-driven Workforce Management platform across application services, data infrastructure, ML systems, optimization engines, APIs, integration architecture, developer platforms, and enterprise-scale operations.
  • Establish engineering-wide standards for system design, scalability, performance, reliability, extensibility, observability, security, and maintainability.
  • Serve as the final architectural authority for major platform initiatives and technical decisions with long-term consequences.
  • Identify opportunities to reduce complexity, improve system efficiency, accelerate engineering velocity, and unlock new product capabilities.
  • Proactively surface technical debt, architectural risk, and platform constraints before they compound into customer, product, or engineering velocity issues.
  • Create pragmatic migration paths from current-state architecture to target-state architecture while maintaining uptime, customer trust, backward compatibility, and delivery speed.
  • Ensure Legion’s architecture supports enterprise configurability and extensibility without allowing uncontrolled customization or product fragmentation.
  • Architect AI-native product capabilities across forecasting, scheduling, labor optimization, recommendations, copilots or agents, anomaly detection, decision automation, and other intelligent workforce management use cases.
  • Define the architecture for production AI systems, including data pipelines, feature platforms, model training, model serving, retrieval, evaluation, monitoring, feedback loops, and continuous improvement.
  • Make clear build-versus-buy decisions across LLMs, classical ML, optimization solvers, retrieval systems, evaluation frameworks, and internal AI platforms.
  • Partner closely with Product, Data Science, and Engineering to turn mathematically complex labor optimization problems into reliable, scalable, explainable production systems.
  • Drive architecture for large-scale, multi-tenant SaaS systems serving complex enterprise customers with high availability, performance, security, and compliance expectations.
  • Improve the architecture for observability, incident analysis, performance engineering, capacity planning, reliability, and operational excellence.
  • Connect technical decisions directly to customer value, product velocity, implementation speed, scalability, reliability, and long-term platform advantage.
  • Mentor and elevate Staff Engineers, Principal Engineers, architects, and senior engineering leaders across the organization.
  • Own the architectural approach to enterprise security, data governance, privacy, compliance, auditability, and resilience.
  • Travel up to 15% for leadership collaboration, engineering offsites, strategic customer engagements, and other business-critical meetings.

What they require

  • 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.
  • Demonstrated success designing and scaling mission-critical, multi-tenant SaaS platforms for enterprise customers.
  • 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.
  • Proven ability to operate as a hands-on technical leader who can credibly engage in code-level and design-level discussions with senior engineers.
  • Experience making major architecture decisions for systems with high scale, high reliability requirements, complex domain logic, and long product lifecycles.
  • Experience modernizing large production systems incrementally while maintaining uptime, backward compatibility, customer trust, and engineering velocity.
  • Experience building or supporting AI, ML, optimization, decisioning, forecasting, or data-intensive products in production.
  • 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.
  • Deep expertise in distributed systems, system design, cloud architecture, service-oriented or microservices architectures, APIs, event-driven systems, and large-scale data processing.
  • Strong experience with cloud platforms such as AWS, GCP, or Azure.
  • 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.
  • Ability to reason deeply about tradeoffs involving performance, latency, throughput, cost, reliability, developer productivity, extensibility, and maintainability.
  • Demonstrated ability to make bold technical decisions with incomplete information and drive alignment across senior technical and executive stakeholders.
  • Bachelor’s or Master’s degree in Computer Science or a related technical field; PhD a plus but not required.

Benefits

  • $0 monthly premium and other flexible medical, dental, and vision plans effective on the first day of employment
  • 401k plan
  • Discretionary Paid Time Off and Paid Holidays
  • Parental Leave
  • Equity
  • Bonus
  • Monthly Wellness Reimbursement
  • Monthly Lunch on Legion
  • Competitive compensation and benefits packages
  • Fully remote employment

Legion provides an AI-native workforce management platform that helps labor-intensive organizations maximize labor efficiency and employee engagement, with a mission to turn hourly jobs into good jobs.

Workforce ManagementStartup
$300k–$385k/yr