You will serve as Legion's most senior hands-on technical leader, diving deep into code, design documents, production incidents, and implementation tradeoffs to guide technical direction. You'll lead the hardest technical decisions across AI systems, optimization engines, distributed systems, data architecture, reliability, and platform modernization, writing prototypes, reference implementations, and architecture decision records to unblock teams. You'll define the long-term architecture for Legion's AI-driven Workforce Management platform, establish engineering-wide standards, and serve as the final architectural authority for major initiatives. You'll architect AI-native product capabilities like forecasting, scheduling, labor optimization, and copilots, making build-versus-buy calls across LLMs, classical ML, and optimization solvers. You'll drive architecture for large-scale multi-tenant SaaS systems, improve observability and reliability practices, and connect technical decisions to customer value and product velocity. You'll mentor Staff and Principal Engineers, raise the bar for engineering craftsmanship, and own the architectural approach to security, compliance, and enterprise readiness.
Responsibilities
- Serve as the senior-most hands-on technical authority for complex architecture and platform evolution
- Dive into code, design documents, production incidents, and performance bottlenecks to diagnose root causes
- Lead technical decisions across AI systems, optimization engines, distributed systems, and platform modernization
- Write prototypes, reference implementations, architecture decision records, and technical specifications
- Make high-consequence technical decisions with incomplete information
- Challenge architectural drift, unnecessary complexity, and weak abstractions
- Partner with Staff, Principal, and senior engineering leaders in design reviews
- Define and own the long-term architecture for the AI-driven Workforce Management platform
- Establish engineering-wide standards for system design, scalability, and reliability
- Serve as the final architectural authority for major platform initiatives
- Identify opportunities to reduce complexity and accelerate engineering velocity
- Surface technical debt and architectural risk before they compound
- Create migration paths from current-state to target-state architecture
- Architect AI-native product capabilities across forecasting, scheduling, and labor optimization
- Define architecture for production AI systems including data pipelines and model serving
- Make build-versus-buy decisions across LLMs, classical ML, and optimization solvers
- Establish standards for AI system quality including accuracy, latency, and explainability
- Drive architecture for large-scale multi-tenant SaaS systems
- Lead technical decisions involving microservices, APIs, and event-driven architecture
- Improve architecture for observability, incident analysis, and performance engineering
- Connect technical decisions to customer value and product velocity
- Partner with Product and Engineering leadership to translate goals into technical roadmaps
- Mentor and elevate Staff Engineers, Principal Engineers, and architects
- Raise the bar for technical judgment, system design, and code quality
- Help assess, attract, and develop senior technical talent
- Own the architectural approach to enterprise security, data governance, and compliance
- Ensure architecture supports SOC 2, ISO 27001, and regulatory requirements
Requirements
- 15+ years of experience building and scaling large-scale software systems
- Prior experience as a Chief Architect, Distinguished Engineer, Principal Architect, or very senior Principal Engineer
- 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, and data platforms
- Proven ability to operate as a hands-on technical leader engaging in code-level and design-level discussions
- Experience making major architecture decisions for high-scale, high-reliability systems
- Experience modernizing large production systems incrementally while maintaining uptime
- Experience building or supporting AI, ML, optimization, decisioning, or forecasting products in production
- Strong understanding of observability, incident response, and performance engineering
- Ability to communicate complex technical concepts clearly to varied audiences
- Deep expertise in distributed systems, system design, and microservices architectures
- Strong experience with cloud platforms such as AWS, GCP, or Azure
- Strong experience with architecture reviews, design documents, and code reviews
- Experience with languages such as Java, Kotlin, Go, Python, or Scala
- Ability to reason deeply about tradeoffs involving performance, latency, and cost
- Strong architectural judgment on when to simplify, re-platform, or tolerate debt
- Demonstrated ability to make bold technical decisions with incomplete information
- Ability to influence without relying on hierarchy
- Bachelor's or Master's degree in Computer Science or a related technical field
Benefits
- Health Benefits
- Paid Time Off and Paid Holidays
- Equity
- Monthly Wellness Reimbursement
- Meal Vouchers