AI Architect

  Sr. AI Architect   Woburn, MA   Are you our “TYPE”?  Named "One of the Most Innovative Companies in Design'' by Fast Company, Monotype brings brands to life through type and technology that consumers engage with every day. The company's rich legacy includes a library that can be traced back hundreds of years, featuring famed typefaces like Helvetica, Futura, Times New Roman and more. Monotype specializes in the design, development, licensing, and management of typefaces and font technologies for the world’s biggest global brands and individual creative professionals, offering a wide set of solutions that make it easier for them to do what they do best: design beautiful brand experiences.    Want to learn more about who we are, what we do, and how you can become part of our team of over 1,000 talented employees across the globe? Visit us at www.monotype.com.  We are seeking a Sr. AI Architect to help modernize our technology foundation for AI and enable scalable, secure, enterprise-grade adoption of AI across the organization. In this role, you will lead the design and evolution of the infrastructure, platforms, patterns, and governance needed to support AI-enabled products, workflows, automations, and agentic systems. You will work closely with Engineering, IT, Security, Data, Enterprise Systems, and business stakeholders to ensure the company has the right architecture to support modern AI use cases — including LLM applications, retrieval-augmented generation, AI agents, enterprise knowledge systems, automation platforms, and secure integrations across internal systems.  This is a senior, highly cross-functional technical leadership role for someone who can bridge enterprise architecture, cloud infrastructure, AI platforms, data systems, security, and practical business enablement. The ideal candidate is both strategic and hands-on: able to define the roadmap, establish standards, evaluate emerging technologies, and partner with teams to bring scalable AI capabilities into production.  What you’ll be doing: Lead the design of the company’s enterprise AI infrastructure and architecture Modernize our technology foundation so teams can build and scale AI-enabled tools, automations, and agentic workflows Define common patterns, standards, and best practices for AI applications, integrations, retrieval, governance, and monitoring Partner with Engineering, IT, Security, Data, and business teams to identify the platforms and capabilities needed to support AI adoption Design scalable approaches for connecting AI systems to enterprise data, knowledge sources, and business applications Guide the implementation of secure and reliable AI capabilities, including LLM access, RAG, agent orchestration, observability, and cost management Evaluate...