AI Product Architect

Nymbus, Inc.

2d•Remote

About The Position

Nymbus is seeking an AI Product Architect to be the technical backbone across product squads, ensuring solutions are safe, secure, and scalable. This role involves defining and enforcing design patterns, building foundational technical components, hardening solutions for production, and owning operational architecture using an AI-first methodology. The architect will work closely with Builders and Shippers to deliver outcomes end-to-end, acting as a hands-on technical leader who regularly commits production code. The position is part of the Architecture team, reporting to the Chief AI Officer, and requires a focus on system design, technical integrity, and production hardening within a squad triad model. The architect will leverage AI-powered tools to accelerate various stages of the development lifecycle and ensure enterprise-grade quality.

Requirements

5+ years of software engineering experience, including meaningful experience serving as a software architect, solution architect, or equivalent technical design authority for enterprise-grade production software.
Demonstrated ability to translate architecture into working software by designing and implementing foundational components, shared services, and technical frameworks.
Strong hands-on engineering capability and willingness to regularly commit production code in areas such as event processing, data access, integrations, observability, security, and platform services.
Proven ability to define and apply architecture patterns across APIs, data, integrations, testing, security, deployment, and operations.
Strong understanding of REST APIs, event-driven systems, data modeling, distributed-system tradeoffs, resiliency, and integration design.
Experience establishing non-functional requirements, automated testing standards, observability patterns, deployment approaches, and technical release criteria.
Ability to balance priorities across two product squads, make pragmatic tradeoffs, and collaborate closely with Builders, Shippers, Security, and other Architects.
At least 6 months of hands-on experience using AI-powered IDEs or coding agents such as Claude Code, Kiro, Cursor, GitHub Copilot, or equivalent tools.
Demonstrated use of AI tools for design exploration, specification, code generation, implementation, code review, analysis, or operational automation.
Ability to create practical guardrails, context, and review checkpoints that help AI-generated solutions meet enterprise standards.
Willingness to experiment with tools and continuously improve AI-augmented architecture and engineering practices.
Comfort operating in a spec-first, AI-first development methodology.

Nice To Haves

Experience designing or operating enterprise multi-tenant SaaS applications in a cloud-hosted environment, particularly AWS.
Experience in fintech, banking, or financial services, including core banking, digital banking, payments, cards, lending, or adjacent financial platforms.
A track record of modernizing or decomposing legacy applications while protecting production stability.
Hands-on proficiency in two or more of Java, Node.js, Python, or React.
Experience establishing and maintaining architectural standards across multiple engineering teams.

Responsibilities

Define system and reference architectures that align squad solutions with the broader Nymbus platform.
Own integration patterns, API contracts, data models, data flows, tenancy boundaries, and interoperability decisions.
Design and regularly commit production code for foundational technical components and shared services, including event processing, data access, integration frameworks, observability, and platform utilities.
Review product specifications and implementations for scalability, maintainability, backward compatibility, and cross-squad consistency.
Use AI-powered tools to explore architecture alternatives, identify gaps, draft technical artifacts, implement foundational code, and accelerate design reviews.
Define the automated testing framework and standards.
Create and maintain shared test harnesses, utilities, and patterns, and establish measurable non-functional requirements for performance, scalability, reliability, security, resiliency, and operability.
Define and oversee performance, capacity, resiliency, security, and vulnerability testing for architectural areas.
Identify failure modes, bottlenecks, and operational risks before release, and enforce the engineering quality bar.
Define deployment patterns across environments, including configuration and environment-management standards.
Own the technical design for rollout strategy, progressive delivery, rollback, recovery, and failure handling.
Establish monitoring, alerting, structured logging, tracing, dashboards, and other observability standards.
Drive capacity planning, technical production-readiness reviews, and operational runbooks.
Provide architectural signoff for owned areas and hold a release when requirements are not met.
Define and verify encryption, authentication, authorization, secrets management, and audit logging.
Ensure tenant isolation, data segregation, privacy controls, and regulated-data handling are designed into each solution.
Establish token-based authentication and authorization patterns for AI-enabled capabilities.
Ensure PII and sensitive data are masked or excluded from AI contexts and that AI-driven actions are auditable.
Partner with Security, Compliance, and risk stakeholders to translate control requirements into practical platform patterns.
Split time across squads, actively manage competing priorities, and maintain consistent technical patterns.
Partner daily with Builders on API design, data modeling, integration patterns, implementation tradeoffs, automated testing standards, and the use of shared foundational components.
Regularly participate in implementation through production code commits, code reviews, pairing, prototypes, reference implementations, and shared services.
Coordinate with Shippers on test evidence, release readiness, deployment execution, observability, rollback preparedness, and operational supportability.
Collaborate with the Architecture team; surface architectural risks and dependencies early; and maintain shared context through decision records, diagrams, specifications, reference code, and operational documentation.
Build and apply working knowledge in domains such as Core Banking, Digital Banking, Lending, or Payments and Cards.