Junior Solutions Architect

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.
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
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.
Conduct deep design reviews and trade-off analysis.
Troubleshoot production-scale issues involving performance, scalability, and distributed systems behavior.
Requirements: 8+ years of progressive experience in software engineering and architecture, with demonstrated progression into senior technical leadership roles (e.g., 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