- JD Posting date and time: Unavailable - Number of applicants if available: Not available on official/LinkedIn public captures - Date and time the resume was generated: 2026-08-24 06:53 AM EDT - Elapsed time between JD Posting date and time vs the resume generation time: Unavailable - JD level: Executive management role. The JD assigns founding and leading a centralized Enterprise AI function, enterprise-wide AI standards, governance, shared platform strategy, AI Center of Excellence, platform architecture, AI engineering enablement, responsible AI, and executive reporting. - Compensation: $200,000-$250,000 annual base - Count and percent of matching Significant keywords in JD vs in resume: 25 JD / 21 resume (84.0%) - Fit Notes / caveats: Hybrid in Boston, MA; U.S. base salary $200,000-$250,000. Travel is not disclosed. Strong enterprise AI strategy, AI architecture, AI Center of Excellence, governance, platform, LLM gateway, agent framework, adoption, and executive reporting fit. - JD text: See captured JD below. ## Captured JD Senior Director, Enterprise AI & Architecture - Flywire | Built In Boston - - - - - - - Boston Global Tech Hub BuiltIn.com is the global destination for tech professionals. builtin.com Popular Tech Hubs United States Austin Boston Chicago Colorado Los Angeles New York City Seattle San Francisco Australia Sydney Melbourne Canada Calgary Montreal Ottawa Quebec Toronto Vancouver India Bengaluru Chennai Delhi Hyderabad Kolkata Mumbai Pune Ireland Dublin Singapore Singapore United Kingdom London Cambridge Manchester Birmingham Bristol Companies Jobs Articles 0 && companies.length === 0"> Can't find your company? Create a company profile. View All Jobs Join Log In For Employers - Hire on Built In - - Post a Job Flywire Jobs Senior Director, Enterprise AI & Architecture Flywire Senior Director, Enterprise AI & Architecture Reposted 21 Days Ago Hybrid Boston, MA, USA 200K-250K Annually Senior level Hybrid Boston, MA, USA 200K-250K Annually Senior level Lead and build an Enterprise AI organization to define strategy, platforms, governance, and standards. Deliver scalable AI platforms (LLM gateways, model registries, vector DBs), enable business adoption, embed responsible AI and compliance, partner across Security, Legal, Finance, and drive measurable AI use cases and ROI while managing a small, cross-functional AI architecture and engineering team. The summary above was generated by AI Company Description Are you ready to trade your job for a journey? Become a FlyMate! Passion, excitement & global collaboration are all core to what it means to be a FlyMate. At Flywire, we’re on a mission to deliver the world’s most important and complex payments. We use our Flywire Advantage - the combination of our next-gen payments platform, proprietary payment network and vertical specific software, to help our clients get paid, and help their customers pay with ease - no matter where they are in the world. What more do we need to truly be unstoppable? Perhaps, that is you!  Who we are:  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. Job Description The Opportunity Flywire is building a centralized Enterprise AI organization to govern, scale, and accelerate AI adoption across the business. The Sr. 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. This is a high-visibility role at the intersection of strategy, technology, and compliance in the highly regulated sectors. Key Responsibilities 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. - 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. - 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 - 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. - 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. Team Leadership, Delivery & Enterprise Collaboration - Build and lead a small, high-performing AI-First organization with strong architecture, engineering, automation, platform, and delivery capabilities. - Lead from the front with a hands-on, roll-up-the-sleeves leadership style and strong ownership of outcomes. Owning delivery across scope, schedule, budget, quality, risk, dependencies, adoption, and business value. - Develop talent and create a culture of curiosity, accountability, disciplined experimentation, continuous learning, and measurable outcomes. Qualifications Here's What We're Looking For - 15+ years of progressive technology leadership experience, including senior responsibility for engineering, architecture, platforms, data, infrastructure, automation, AI, digital transformation, or enterprise technology delivery, including 5+ years managing multi-disciplinary engineering or architecture teams. - Experience at large Enterprise, enabling enterprise adoption of AI productivity tools such as Gemini, ChatGPT, Claude, or similar platforms. - Significant hands-on leadership experience with AI, machine learning, Generative AI, automation, advanced analytics, intelligent platforms, developer productivity tools, or emerging technology capabilities, at a large Enterprise Organization. - Strong understanding of Generative AI concepts and implementation patterns, including LLMs,  RAG pipelines, agentic AI frameworks, enterprise ML deployment patterns, SLMs, embeddings, prompt engineering, retrieval-augmented generation, vector databases, semantic search, evaluation frameworks, and enterprise knowledge integration.. - Experience with Agentic AI patterns, including autonomous or semi-autonomous agents, tool/function calling, workflow orchestration, human-in-the-loop controls, guardrails, monitoring, and safe deployment practices. - Familiarity with Model Context Protocol (MCP) or similar approaches for connecting AI systems to enterprise tools, data sources, APIs, and workflow actions in a secure and governed manner. - Understanding of AI/ML model lifecycle practices, including model selection, experimentation, validation controls, performance monitoring, drift detection, feedback loops, auditability, and responsible production deployment. - Familiarity with enterprise AI platform capabilities such as model access gateways, model catalogs, AI orchestration layers, policy enforcement, prompt and response controls, observability, cost monitoring, and usage governance. - Strong technical fluency across cloud platforms, APIs, microservices, data platforms, observability, automation, cybersecurity, identity, privacy, and modern engineering practices. - Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or related field required. Leadership Attributes - Inspirational thought leader with passion for building and scaling AI-enabled technology and business capabilities. Pragmatic, hands-on leader with strong bias for action and measurable outcomes. - Strategic yet technical, with ability to dive deep into architecture, engineering, security, data, operations, and business process details. - Proven experience leading Enterprise-scale technology transformation; preferably in a regulated environment, such as financial services, or another highly governed industry. - Track record of partnering with executive  stakeholders and translating technology strategy into business outcomes. - Experienced at defining and influencing organizational strategy, inclusive of board and executive level communications(written and verbal). - Demonstrated success building or leading an enterprise AI, platform engineering, or architecture function at scale. - Proven ability to lead internal teams, contractors, vendors, and system integration partners in a fast-paced, high-accountability environment. - Strong command of compliance requirements relevant to payments (PCI-DSS, SOX).. - Experience with FinOps practices and cloud cost governance for AI/ML workloads. Preferred Qualifications - Experience at a global payments, fintech, or healthcare technology company. - 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. Additional Information Submit today and get started! We are excited to get to know you! Throughout our process you can expect to meet different FlyMates including the Hiring Manager and other Flymates. Your Talent Acquisition Partner will walk you through the steps and be your “go-to” person for questions. Flywire is an equal opportunity employer and follows a policy of administering all employment decisions and personnel actions without regard to race, color, religion, sex, pregnancy, gender identity, national origin, age, ancestry, physical or mental disability, sexual orientation, genetic disposition or carrier status, veteran status, or any other category protected under applicable national, federal, state or local law. The US base salary range for this full-time position is $200,000 - $250,000 and benefits. Our salary ranges are determined by role, position level, and location. The range displayed on this job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and several other factors, including job-related skills, experience, relevant education and training.  #LI-Hybrid Read Full Description HQ Flywire Boston, Massachusetts, USA Office Flywire Flywire US HQ Office Our three floor office is overlooks the Boston Common right on Tremont Street. Similar Jobs at Flywire Flywire Relationship Manager 2 Days Ago Hybrid Boston, MA, USA 78K-90K Annually Mid level 78K-90K Annually Mid level Fintech • Payments • Software Manages an education-client portfolio, serving as the primary relationship owner and strategic partner. Responsibilities include driving Flywire solution adoption, developing account plans, managing renewals and negotiations, identifying upsell opportunities, overseeing implementations, coordinating internal teams, monitoring risks with data, and presenting to executive stakeholders. The role requires strong commercial, communication, organizational, problem-solving, and project management skills, plus willingness to travel approximately 25%. Top Skills: CRM Salesforce Flywire Senior Account Executive 2 Days Ago Remote or Hybrid Boston, MA, USA 110K-150K Annually Senior level 110K-150K Annually Senior level Fintech • Payments • Software Build and manage education-sector client relationships through the full sales cycle, from prospecting and lead generation to closing. Develop new-business pipelines, communicate the company’s value proposition, achieve revenue quotas, and conduct consultative product demonstrations. Collaborate with product, technical, operations, and marketing teams to support solution delivery and implementation. Conduct market research, manage multiple projects, and grow new accounts across the Americas. Top Skills: CRM SaaS Salesforce Flywire Senior Relationship Manager 2 Days Ago Hybrid Boston, MA, USA 92K-105K Annually Senior level 92K-105K Annually Senior level Fintech • Payments • Software Own and grow a portfolio of education clients by driving adoption, retention, renewals and upsells. Build strategic account plans, lead negotiations, oversee implementations, collaborate cross-functionally to solve client problems, use data to identify risks, and deliver executive-level presentations to increase revenue and client satisfaction. Top Skills: CRM Salesforce What you need to know about the Boston Tech Scene Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world. Key Facts About Boston Tech - Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey) - Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings - Key Industries: Artificial intelligence , biotechnology , robotics , software , aerospace - Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook) - Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners - Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories Continue Apply Save Apply Instructions By clicking Apply Now you agree to share your profile information with the hiring company. Sign up now Access later Create Free Account Already have an account? Log In Please log in or sign up to report this job. Create Free Account Already have an account? Log In - Companies - Jobs - Tracker - Articles - More Join Log In - Tech Jobs - Companies - Articles - Remote - Salaries Post Job © 2026 Built In. All rights reserved. About Our Story Careers Our Staff Writers Content Descriptions Get Involved Recruit With Built In Become an Expert Contributor Resources Customer Support Share Feedback Report a Bug Tech Hubs Built In Austin Built In Boston Built In Charlotte Built In Chicago Built In Colorado Built In Los Angeles Built In NYC Built In San Francisco Built In Seattle © 2026 Built In. All rights reserved. Learning Lab User Agreement Accessibility Statement Copyright Policy Privacy Policy Terms of Use Your Privacy Choices/Cookie Settings CA Notice of Collection Oops, something went wrong. Please try again.