Sr. AI Architect

Woburn, MA

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 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 to meet all your healthcare needs.

• Competitive compensation with corporate bonus program & 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 (high internal mobility across organization)

• Retirement planning options to save for your future, and so much more!

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. The job application window for this role is 30 days from the posting date.

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