Flywire

Flywire

Senior Director, Enterprise AI & Architecture

Boston, MA, United States · Director · Full-time

Sponsorship not specified$200k-$250kDetected 14 days ago
Code ReviewVector DatabasesCloud PlatformsPlatform EngineeringMachine LearningData ScienceLLMsRAGAgentic AIAI OrchestrationA/B TestingComplianceRecruitingCustomer SupportLeadershipCommunicationCollaborationSarbanes-Oxley

About the role

  • This is a high-visibility role at the intersection of strategy, technology, and compliance in the highly regulated sectors.

Responsibilities

  • Define and own the Enterprise AI strategy, roadmap, and operating model in alignment with Build and lead team spanning architecture, AI engineering, platform, governance, and security.
  • Leading the strategy and delivery of foundational AI platform capabilities that support secure, scalable, and reusable AI-enabled applications.
  • Oversee a risk-tiered governance and architecture review process; own the technology exception process.
  • Partner with Applications, Engineering, Infrastructure, Operations, Architecture, Security, and Data teams to pilot, refine, and scale AI-enabled practices over time.
  • Establish and maintain enterprise AI/ML standards, frameworks, playbooks, and reference architectures. Driving adoption of a centralized AI platform including LLM gateway, model registry, agent frameworks, and shared APIs.
  • Partner with engineering, operations, finance, customer service, and other business functions to identify and deliver high-value AI-enabled process improvements.
  • Lead the development of AI capabilities such as decision support, workflow automation, document intelligence, knowledge assistance, summarization, triage, productivity tools, and service quality improvements.

Nice to have

  • Familiarity with federated delivery models and domain-led architecture teams.
  • Background in responsible AI, AI ethics frameworks, or model explainability.
  • MBA or advanced degree in Computer Science, Engineering, or related field.
  • Submit today and get started!
  • Throughout our process you can expect to meet different FlyMates including the Hiring Manager and other Flymates.

Compensation

  • $200k-$250k

Company info

  • Flywire is a global payments enablement and software company, founded more than a decade ago to solve high-stakes, high-value payments in higher education.
  • We've since scaled into new regions and industry verticals and expanded our product offerings to deliver meaningful value to our clients around the world.
  • Today we support more than 5,100 clients across the global education, healthcare, travel & B2B industries, with diverse payment methods across 240 countries & territories and more than 140 currencies.
  • With over 1,200 global FlyMates, representing more than 40 nationalities, and in 12 offices world-wide, we're looking for FlyMates to join the next stage of our journey as we continue to grow.
  • The Opportunity
  • Flywire is building a centralized Enterprise AI organization to govern, scale, and accelerate AI adoption across the business.
  • Director, Enterprise AI & Architecture will found and lead this function, establishing the enterprise-wide standards, governance model, shared platform strategy, and talent infrastructure needed to deliver measurable business value.
  • AI Platforms, Architecture & Engineering Enablement
  • Define and own the Enterprise AI strategy, roadmap, and operating model in alignment with Build and lead team spanning architecture, AI engineering, platform, governance, and security. Leading the strategy and delivery of foundational AI platform capabilities that support secure, scalable, and reusable AI-enabled applications.
  • Serve as strategic leader for the AI Center of Excellence; represent the Enterprise AI org to the Executive team reporting on milestones, ROI, and risk posture.
  • Define architecture patterns for AI-First applications, copilots, intelligent workflows, automation agents, enterprise knowledge solutions, and reusable AI components. Oversee a risk-tiered governance and architecture review process; own the technology exception process.
  • Guide platform capabilities such as model access, retrieval frameworks, vector databases, enterprise knowledge integration, prompt and response controls, observability, and governance guardrails.
  • Partnering to define standards for AI-assisted software engineering practices across the SDLC, including coding, testing, documentation, requirements analysis, code review, and engineering workflow automation.
  • Evaluate emerging AI vendors and technologies; run pilot programs and proofs-of-concept.
  • Prevent shadow AI proliferation by providing self-service resources and pre-approved patterns that make governance easy.company OKRs.
  • Business Capability Enablement & Adoption
  • Help business teams move from AI ideas to practical use cases with clear outcomes, adoption plans, controls, and value measures.
  • Lead enterprise enablement of AI productivity tools such as Gemini, ChatGPT, Claude, and related assistants, including standards, training, adoption practices, and usage guardrails.
  • Build reusable playbooks, enablement models, and communities of practice that raise AI fluency across IT and the broader organization.
  • Responsible AI, Governance & Risk Partnership
  • Embed security, privacy, responsible AI, sensitive data handling, human oversight, vendor risk, and production readiness into AI platforms, business use cases, engineering practices, operations, and employee tools.
  • Partner with Security, Legal, Risk, Compliance, Data, Architecture, and business teams to define and operationalize enterprise AI governance.
  • Create governance models that support responsible experimentation while protecting customers, employees, business partners, and enterprise data.
  • Partner with Finance to implement FinOps guardrails, cost allocation models, and real-time AI spend dashboards.
  • Embed responsible AI principles - PCI-DSS, SOX compliance, ethics, and explainability - into every initiative.
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This listing is sourced directly from Flywire's careers page and normalized into a canonical job model.