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 emerging AI platforms and tools and recommend pragmatic solutions based on business value, scalability, security, and risk   Provide   technical leadership and architectural guidance to teams building AI automations, workflows, and internal AI solutions   Help shape the enterprise AI roadmap and prioritize foundational investments needed for long-term success   What   we’re   looking for :   8+ years of experience in software engineering, cloud infrastructure, enterprise architecture, platform engineering, data engineering, or a related technical field   Experience with   LLMOps ,   MLOps , platform engineering, or internal developer platforms   Experience designing or modernizing enterprise-scale technology platforms, cloud systems, data platforms, or integration architectures   Strong understanding of AI infrastructure concepts, including LLM platforms, RAG, data retrieval, orchestration, APIs, monitoring, and governance   Hands-on experience with cloud platforms and modern AI tools such as Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI, Anthropic, or similar technologies   Familiarity with orchestration and agent frameworks such as   LangChain ,   LlamaIndex ,   Semantic   Kernel,   CrewAI ,   AutoGen ,   IBM Watson X, AWS   AgentCore ,   or similar technologies   Experience with vector databases or search platforms such as Pinecone,   Weaviate , Milvus,   pgvector , Elasticsearch, OpenSearch, or Azure AI Search   Experience with automation and integration platforms such as   Workato , MuleSoft, Boomi, UiPath, n8n, Zapier, Make, or similar tools   Experience defining AI governance, responsible AI standards, model evaluation practices, or enterprise AI risk frameworks   Experience integrating enterprise systems, data sources, and SaaS platforms in a secure and scalable way   Strong understanding of security, privacy, access control, data governance, and compliance considerations for enterprise AI   Ability to evaluate   new technologies   and translate them into practical recommendations for the business   Proven ability to lead technical strategy, influence cross-functional teams, and communicate complex concepts clearly   Comfortable balancing long-term architecture with practical, near-term delivery   Preferred traits   Strategic systems thinker who can connect long-term architecture decisions to practical business outcomes   Hands-on technologist who is comfortable prototyping, evaluating tools, and guiding implementation   Comfortable operating in ambiguity and creating structure where standards, platforms, or processes do not yet exist   Strong technical judgment with the ability to balance innovation, speed, security, scalability, and operational reliability   Collaborative partner who can work effectively across Engineering, IT, Security, Data, Legal, and business teams   Pragmatic modernizer who understands that enterprise AI success depends as much on integration, governance, and adoption as it does on model capability   Curious, experiment-driven, and committed to staying curr