Own the Architectural Direction of Conduct
Establish and enforce a coherent architectural strategy across the platform. Make and defend high-impact design decisions that shape the system for years to come.
Drive Structural Evolution
Identify and lead architectural changes required to support scale, performance, extensibility, and new capability domains.
Ensure Platform Coherence Across Teams
Define and uphold architectural standards, patterns, and boundaries across multiple engineering teams and services.
Design for Regulatory-Grade Scale
Architect systems that are resilient, auditable, secure, and capable of operating at enterprise data volumes and global customer scale.
Influence Technical Direction Across the Organization
Align Engineering, Product, and customer-facing leadership around architectural trade-offs and long-term platform investments.
Anticipate Downstream Impact
Evaluate how architectural decisions affect performance, cost, operability, compliance posture, and future development velocity.

10+ years in senior technical roles, including significant experience as a Principal, Staff, or Lead Architect.
Proven ownership of architectural direction for large-scale, multi-service platforms serving enterprise customers.
Experience designing and evolving distributed, event-driven, or data-intensive systems operating at scale.
Background in regulated or compliance-sensitive environments where auditability and risk management materially influence system design.
Demonstrated success leading cross-team architectural initiatives or platform transformations.
Strong hands-on credibility; able to engage deeply in design, modeling, trade-off analysis, and architectural review.
Experience collaborating across global engineering teams and influencing senior technical stakeholders.
Practical experience integrating AI/ML or LLM-based services into distributed systems.
Understanding of the operational implications of incorporating probabilistic services into deterministic workflows.
Familiarity with service abstraction, API design, and integration patterns that allow AI capabilities to evolve without destabilizing core platform architecture.
Ability to evaluate AI service adoption pragmatically from a scalability, cost, and reliability perspective.

Enterprise Architect

Key skills