AI Architect

Monotype; Woburn (MA); Hybrid; USD 130,000 - 155,000; Full time

Benefits offered by this job

Hybrid work arrangements

Competitive paid time off

Comprehensive medical insurance

Corporate bonus program

Professional onboarding and training

Retirement planning options

Job summary

Monotype is seeking a Sr. AI Architect in Woburn, Massachusetts, to lead the design of our AI infrastructure and modernize our technology. This role requires over 8 years of experience in software and cloud engineering, and hands-on experience with tools like Azure OpenAI and AWS Bedrock.

The ideal candidate will guide the implementation of secure AI capabilities, evaluate platforms, and set standards for AI governance. A hybrid work arrangement and competitive compensation are offered, along with benefits such as medical insurance and development opportunities.

Qualifications

• 8+ years of experience in software engineering, cloud infrastructure, or related field.
• Hands-on experience with cloud platforms and modern AI tools.
• Strong understanding of AI infrastructure concepts.

Responsibilities

• Lead design of enterprise AI architecture.
• Modernize technology foundation for AI adoption.
• Evaluate emerging AI platforms and recommend solutions.

Skills

Software engineering

Cloud infrastructure

Enterprise architecture

Data engineering

MLOps

Security and compliance

Education

8+ years of relevant experience

Tools

Azure OpenAI

AWS Bedrock

Google Vertex AI

Elasticsearch

Pinecone

Job description

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

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 current as AI infrastructure and agentic technologies rapidly evolve

What’s in it for you:

• 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 creative, innovative, and global working environment in the creative and software technology industry
• Highly engaged Events Committee to keep work enjoyable
• Reward & Recognition Programs (including President’s Club for all functions)
• Professional onboarding program, including robust targeted training for Sales function
• Development and advancement opportunities with high internal mobility across the organization
• Retirement planning options to save for your future, and so much more!

Monotype is an Equal Opportunities Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

The US pay range for this position is $130,000.00 - $155,000.00 annual base salary for external candidates with the appropriate level of experience. A corporate bonus will also be offered as part of this role. The final annual base salary offered will be based on location and experience level, and could be less for internal applicants depending upon experience.