Principal Architect - Enterprise AI

The Principal Architect - Enterprise AI is listed on behalf of a partner company managing all applications and next steps. This role offers the opportunity to define and accelerate enterprise-wide AI adoption through innovative architecture strategies and responsible AI practices. You will shape how emerging AI technologies move from experimentation into scalable, secure, and production-ready solutions. You will combine strategic architecture leadership with hands-on exploration of AI models, agent frameworks, and automation capabilities. You will influence teams across the organization by creating standards, governance frameworks, and reusable AI patterns. Working as a senior individual contributor, you will partner with technical and business leaders to enable impactful AI transformation.

About the role

• Define and maintain enterprise AI architecture standards, reference patterns, and governance frameworks to support the transition of AI initiatives from pilots to production.
• Establish decision-making models for AI technology selection, including build-versus-buy analysis, vendor evaluation, data access strategies, security considerations, and responsible AI practices.
• Design scalable architecture patterns for AI-enabled workflows, agent-based processes, integrations, APIs, identity management, security, and cloud platforms.
• Research, test, and evaluate emerging AI models, large language models (LLMs), agent frameworks, copilots, and related technologies to identify enterprise opportunities.
• Build proof-of-concepts, define success criteria, and guide AI solutions through experimentation, validation, and production deployment.
• Lead architecture reviews and communicate technical trade-offs, risks, opportunities, and recommendations to business and technical stakeholders.
• Partner with engineering, data, security, and business teams to translate requirements into governed, implementation-ready AI solutions.
• Create workshops, demonstrations, documentation, and reusable resources to support organization-wide AI adoption.
• Promote continuous learning by sharing AI best practices, emerging trends, and practical implementation guidance.

Requirements

• Highest level of technical expertise in AI technologies, cloud platforms, and modern architecture practices.
• Strong experience designing platform architectures across integrations, data platforms, cloud infrastructure, APIs, identity, and security.
• Hands-on experience building prototypes and solutions using modern AI/LLM technologies, APIs, and agent frameworks.
• Experience with enterprise architecture frameworks such as TOGAF or equivalent methodologies.
• Experience working with major cloud platforms such as AWS, Azure, or Google Cloud and related AI/ML services.
• Experience guiding technical teams and supporting executive-level technology decisions.
• Experience developing AI enablement programs, workshops, communities of practice, or enterprise adoption initiatives.
• Experience designing automation, integration, or orchestration solutions using platforms such as n8n, Boomi, MuleSoft, or Workato.
• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
• Experience contributing through public speaking, technical writing, research, or open-source projects related to applied AI is a plus.

Benefits

• Competitive base salary range depending on location, experience, and qualifications.
• Annual bonus eligibility based on personal and company performance.
• Paid time off and paid parental leave.
• Medical, life, and disability insurance benefits.
• Comprehensive wellness and employee support programs.
• Inclusive workplace culture with employee-led resource groups and leadership sponsorship.
• Remote work flexibility.
• Opportunities to work on cutting-edge AI transformation initiatives.
• Professional growth opportunities through continuous learning and innovation.

Schedule

Remote work flexibility is offered.

Pay

Base salary range depends on location, experience, and qualifications:

• Colorado: $153,300 - $203,100 annually.
• Washington: $153,300 - $279,600 annually.
• California: $153,300 - $306,300 annually.
• NYC: $185,500 - $306,300 annually.