Principal Solutions Architect

Role Overview

• Define and enforce a coherent architectural strategy aligned with product vision and long-term platform evolution.
• Make and defend high-impact design decisions with multi-year implications.
• Lead structural changes required to support scale, extensibility, new communication channels, and AI-enabled supervision capabilities.
• Partner with Product Management to translate market and customer needs into durable architectural requirements.
• Align Engineering, Product, Compliance, and customer-facing leadership around architectural trade-offs and investment priorities.
• Negotiate effectively with demanding internal and external stakeholders.
• Architect resilient, secure-by-design, auditable systems capable of operating at petabyte-scale enterprise data volumes across global deployments.
• Translate regulatory and compliance requirements into concrete architectural patterns and controls.
• Establish governed integration patterns for AI services within Conduct workflows.
• Enable AI use cases such as:
• AI-assisted policy violation detection and behavioral signal analysis
• Investigator workflow acceleration (summarization, prioritization, case insights)
• Embed responsible AI principles — privacy, security, fairness, transparency, auditability, and explainability — into platform architecture.
• Ensure AI-enabled components meet standards for reliability, observability, cost control, and performance.
• Prototype and validate architectural approaches.
• Conduct deep design reviews and trade-off analysis.
• Troubleshoot production-scale issues involving performance, scalability, and distributed systems behavior.
• Coach and mentor engineers to elevate architectural capability across teams.

Requirements

• 8+ years of progressive experience in software engineering and architecture, with demonstrated progression into senior technical leadership roles (e.g., Principal Engineer, Staff Engineer, or Lead Architect embedded within a product engineering organization).
• Experience working embedded within a product engineering team, contributing directly to design, implementation, and delivery — not solely in an advisory or governance capacity.
• Experience owning architectural direction for large-scale, distributed, multi-service platforms serving enterprise customers.
• Demonstrated leadership in modernization, re-architecture, or structural platform evolution initiatives.
• Experience designing systems operating at enterprise data scale (petabyte scale or equivalent).
• Background in regulated or compliance-sensitive environments where auditability and risk materially influence system design — financial services, fintech, payments, or equivalent.
• Practical experience integrating AI/ML or LLM-based services into distributed systems

Tech Stack

• Distributed Systems