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AI Architect
Job in
Woburn, Middlesex County, Massachusetts, 01813, USA
Listed on 2026-06-20
Listing for:
Monotype
Full Time
position Listed on 2026-06-20
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software)
Job Description & How to Apply Below
Monotype is 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.
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
- 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 Lang Chain, Llama Index, Semantic Kernel, CrewAI, Auto Gen, IBM Watson X, AWS Agent Core, or similar technologies
- Experience with vector databases or search platforms such as Pinecone, Weaviate, Milvus, pgvector, Elasticsearch, Open Search, or Azure AI Search
- Experience with automation and integration platforms such as Workato, Mule Soft, 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
- 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 current as AI infrastructure and agentic technologies rapidly evolve
- Hybrid work arrangements and competitive paid time off programs
- Comprehensive commercial medical insurance coverage
- Competitive compensation with corporate bonus program and uncapped commission for quota‑carrying Sales
- A…
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