Principal AI Field Architect

We are seeking a seasoned Principal AI Field Architect to join our elite global team at the forefront of enterprise AI transformation. In this highly strategic role, you will serve as the lead technical visionary for our most critical enterprise engagements. You will operate at the intersection of strategy, architecture, and execution, working with C-level stakeholders to shape long-term AI roadmaps while also mentoring field teams on our "Find, Prove, Deliver" GTM model.

 What You’ll Do

• Drive C-Suite Engagement: Establish and grow trusted relationships with C-level stakeholders (CIO, CTO, CDO), leading executive visioning sessions and innovation workshops to shape long-term AI adoption roadmaps.

• Architect Flagship Solutions: Lead discovery and technical design for our most complex, high-stakes enterprise accounts, architecting robust, scalable solutions that may require net-new agentic processes.

• Govern the Solution Lifecycle: Serve as the ultimate technical authority throughout strategic customer engagements, from initial vision-setting with the AI Expert SC to overseeing the successful delivery by the Forward Deployed Engineer.

• Influence Product and GTM Strategy: Collaborate closely with product and engineering teams to relay field insights, identify gaps in our prebuilt agent inventory, and influence the product roadmap based on strategic customer needs.

• Mentor and Scale Field Teams: Act as a thought leader within the organization, mentoring Solutions Consultants and Forward Deployed Engineers and helping to evolve and refine our AI solution delivery best practices.

The Experience You Bring

• 10+ years in enterprise architecture, strategic consulting, or systems integration roles.

• Proven success leading technical engagements with Fortune 1000 enterprises, from discovery through delivery, especially in high-stakes or regulated environments.

• Executive communication skills, with a demonstrated ability to influence C-suite stakeholders and align autonomous AI capabilities with real business problems.

• Deep expertise in designing and delivering complex, scalable AI-enabled solutions, including hands-on experience with agent frameworks like LangChain, AutoGPT, or CrewAI.

• Extensive experience with enterprise integration technologies (APIs, ESBs, iPaaS) and a deep understanding of data pipelines, governance, observability, and secure AI deployment patterns.

• Strategic presence with the ability to lead engagements independently, operate across functions, and thrive in ambiguous enterprise environments.