[Hiring] Director of Enterprise Architecture @OneSource Virtual

Role Description

OneSource Virtual is seeking a Director of Enterprise Architecture to lead technology design and implementation across our Payment and Tax product lines. The ideal candidate combines deep enterprise architecture experience with hands-on fluency in AI-assisted development practices. This leader will set the architectural direction for a high-velocity engineering organization that processes over $200 billion in compliant payments annually, and will play a central role in advancing our AI-first development culture across 90+ engineers.

Essential Functions & Responsibilities

• Architecture & Technical Leadership
  • Design, document, and guide implementation of technology solutions across multi-team development projects in an agile environment.
  • Own the enterprise architecture roadmap for Payment and Tax platforms, including cloud, hybrid, and on-premise components.
  • Architect systems that are AI-consumable by design — APIs, data contracts, and schemas structured to serve as effective context for LLM-driven processes and agentic workflows.
  • Lead DR/COB design, testing, and continuous improvement across critical payment infrastructure.
  • Design and oversee data movement, ETL/ELT pipelines, and conversion strategies.
  • Troubleshoot and resolve service-level, critical system, and architectural issues.
• AI-First Development Leadership
  • Define and govern standards for AI-assisted development across engineering teams, including coding assistant usage, prompt engineering norms, and code review practices for AI-generated output.
  • Evaluate, recommend, and operationalize AI developer tooling — including coding assistants (e.g., Claude, Cursor, Copilot), agent frameworks, and MCP (Model Context Protocol) integrations.
  • Architect AI-augmented data access, reporting, and analytics patterns that enhance or replace traditional BI and ETL workflows.
  • Design and oversee agentic or automated workflows within payment and tax processing pipelines.
  • Partner with the CTO to define AI adoption metrics, measure productivity impact, and guide competitive positioning of the development team's AI capabilities.
• Team Enablement & Collaboration
  • Provide architecture and domain guidance to development teams during user story breakdown and sprint planning.
  • Coach, mentor, and train developers and architects on both technical and process dimensions, with emphasis on modern AI-assisted development practices.
  • Translate complex business requirements from non-technical stakeholders into clear, high-level technical solution designs.
  • Collaborate with data science, analytics, and IT infrastructure teams on cross-cutting technical and solution design.
  • Instruct and align developers, architects, and teams on architecture decisions and standards.

Core Competencies

• Cloud, hybrid, and on-premise infrastructure design and governance.
• Modern full-stack architecture — UI, application, data, and reporting layers.
• AI-native development practices: LLM tooling, agentic design, prompt-driven system architecture.
• Data engineering: ETL/ELT, data movement, conversion, and AI-augmented data access patterns.
• Agile software development methods, story breakdown, and cross-team coordination.
• Development environment design, CI/CD, and testing infrastructure.
• Stakeholder communication: translating business requirements into actionable technical designs.
• Technical coaching, mentoring, and architecture governance.

Qualifications

• Required
  • 7+ years of experience as an enterprise architect, application architect, or engineering product leader.
  • Demonstrated experience designing and guiding implementation of multi-team development projects.
  • Proven track record in agile software development environments.
  • Experience with financial payment systems, including integration to bank systems, ACH/NACHA processing, or tax authorities.
  • Experience with digital payments, payroll technology, or FinTech products.
  • Hands-on experience with AI developer tools (e.g., Claude, Cursor, GitHub Copilot, or equivalent) and integrating them into team workflows — not just awareness, but actual daily use.
  • Ability to define and enforce standards for AI-generated code quality, review practices, and responsible use.
• Preferred
  • Experience with LLM APIs and prompt-based or agentic system design.
  • Familiarity with MCP (Model Context Protocol) or similar agent-tool integration frameworks.
  • Experience with RAG architectures, vector databases, or AI-augmented data retrieval.
  • Exposure to AI adoption measurement, productivity benchmarking, or developer experience programs.
  • Experience with HCM systems including Workday.
  • Background in high-volume, compliance-driven payment processing environments.

Benefits

• Encouragement to learn and share ideas.
• Reward for innovative thinking, fresh perspectives, creative collaboration, and hard work.
• Values-based culture with upward mobility.
• Professional development with opportunities of all kinds.