Job Details

Position Type: Full Time

Job Category: Information Technology

The VP of Architecture and Software Engineering is a senior executive role responsible for leading Kurv’s technology architecture vision, engineering strategy, and engineering execution. This leader will drive the design, development, and evolution of scalable, secure, and high-performing systems while spearheading the company’s artificial intelligence strategy. Operating fully remotely, this individual will collaborate closely with executive leadership to align technology investments with business objectives and position Kurv as a technology-forward organization in the payments industry.

Key Responsibilities

1. AI Strategy & Innovation
   • Define and lead Kurv’s enterprise-wide artificial intelligence and machine learning strategy
   • Identify high-impact use cases for AI across operations, risk, product, and customer experience
   • Evaluate, pilot, and scale AI tools, platforms, and vendor partnerships
   • Establish governance frameworks for responsible and compliant AI usage
   • Stay ahead of industry trends and translate emerging AI capabilities into business value
2. Architectural Strategy & Technical Direction
   • Develop and own the enterprise architecture roadmap across infrastructure, data, applications, and security
   • Establish architectural standards, patterns, and best practices across all engineering teams
   • Lead decisions on build vs. buy, cloud strategy, API architecture, and systems integration
   • Ensure architecture supports scalability, reliability, performance, and regulatory compliance
   • Drive technical due diligence for new technology initiatives and vendor evaluations
3. Engineering Leadership & Software Quality Assurance
   • Lead, mentor, and grow a high-performing distributed engineering organization
   • Partner with IT, Product, and Operations to deliver against strategic roadmap priorities
   • Champion engineering excellence including code quality, security, testing, and CI/CD practices
   • Drive cross-functional collaboration and communication across technical and non-technical stakeholders
   • Own engineering KPIs and present technology strategy updates to executive leadership and board
   • Own and evolve the organization’s software quality assurance strategy, establishing standards for test coverage, defect management, and release quality gates across all engineering teams
   • Champion a shift-left testing culture by embedding QA practices early in the SDLC, including unit, integration, regression, and end-to-end testing
4. Organizational & Budget Management
   • Develop and manage the engineering and architecture department budget
   • Lead workforce planning, hiring, and development of technical talent
   • Oversee vendor relationships, contracts, and third-party technology partnerships

Qualifications

Required

• 15+ years of progressive experience in software engineering and/or technology architecture
• 5+ years in a senior engineering leadership role (VP level or above)
• Demonstrated experience developing and executing AI/ML strategy at an enterprise level
• Deep experience in leveraging AI LLMs to drive organizational efficiency and transformation
• Deep expertise in cloud architecture (AWS, Azure, or GCP) and distributed systems design
• Strong background in API design, microservices, and systems integration
• Experience in the fintech, payments, or financial services industry
• Proven ability to lead remote, distributed teams across time zones
• Excellent executive communication and stakeholder engagement skills

Preferred

• Experience in PCI-DSS compliant environments or regulated financial technology platforms
• Familiarity with ISO 27001, SOC 2, or other security/compliance frameworks
• Background in enterprise data architecture, data governance, or analytics platforms

Work Environment

Work Arrangement: Fully Remote — candidates may be located anywhere within the United States

Travel: Occasional travel may be required for leadership summits, team meetings, or strategic planning sessions

Classification: Full-Time, Exempt