Principal AI Solution Architect- Sales

About the Role We are looking for a Principal Solution Architect to lead the technical customer journey for Wand’s global enterprise accounts. This is a senior, customer-facing role at the intersection of solution design, technical strategy, and pre- to post-sale execution. You will work with Sales, Solutions Engineers, Customer Success, Product, and Engineering to help customers understand how Wand can solve complex business problems through agentic workflows, AI-powered automation, and enterprise-grade deployment patterns. You will own the technical strategy across key accounts, shape high-quality proofs of concept, and ensure that what we present, validate, and deploy is both technically credible and scalable. This role has a global scope and an internal leadership component. In addition to working directly with customers, you will help define how the Solutions Engineering organization operates by building playbooks, setting POC benchmarks, improving demo environments, and raising the overall quality bar across the team. This role is ideal for someone who combines strong technical depth, strong customer judgment, and the ability to turn repeated field learnings into repeatable systems. Role Responsibilities Own the technical customer relationship: Serve as the primary technical counterpart for strategic enterprise accounts across the customer lifecycle. Lead technical discovery with customers to understand workflows, systems, constraints, data environments, and success criteria. Translate ambiguous business problems into clear solution architectures and implementation approaches. Build credibility with both executive and technical stakeholders by clearly articulating how Wand works and where it creates differentiated value. Partner closely with Sales on strategic deals and with Customer Success on long-term customer success and expansion. Architect solutions and guide execution: Design scalable solution architectures for enterprise deployments using Wand’s platform, including workflows, agents, integrations, and governance requirements. Define the technical approach for proofs of concept, pilots, and production rollouts. Ensure solution designs are realistic, robust, measurable, and aligned with customer environments. Work with Solutions Engineers and Engineering teams to guide implementation and resolve design trade-offs. Help customers navigate integration, security, reliability, and operationalization considerations. Lead technical validation and POCs: Define technical proof strategies for enterprise opportunities, including what needs to be validated for a customer to move forward. Establish clear POC success criteria and benchmarks across dimensions such as accuracy, latency, coverage, usability, reliability, and business impact. Ensure technical evaluations are structured, credible, and repeatable rather than ad hoc. Support high-priority customer engagements by shaping benchmark methodology, evaluation logic, and demo-to-pilot progression. Help create a consistent “proof-to-contract” standard across the organization. Build the SE playbook and demo lab: Help define and evolve the Solutions Engineering playbook, including discovery frameworks, pilot design standards, technical qualification criteria, and customer engagement best practices. Develop reusable assets such as reference architectures, benchmark templates, workflow patterns, and technical validation frameworks. Own and improve the demo lab strategy so demos and prototype environments are believable, reusable, and aligned with real enterprise use cases. Ensure the team has strong technical materials and repeatable methods for demonstrating Wand’s differentiators across industries and use cases. Turn field learning into clear documentation and scalable internal standards. Act as a guild lead for the Solutions function: Raise the quality bar across the Solutions Engineering organization through coaching, standard-setting, and technical leadership. Mentor Solutions Engineers and other customer-facing technical team members on architecture quality, customer communication, and technical rigor. Help drive consistency in how the team runs POCs, technical discovery, benchmarks, and demo preparation globally. Identify gaps in tools, process, enablement, and internal documentation, and help close them. Contribute to the long-term operating model of the Solutions organization. Partner cross-functionally: Work closely with Product and Engineering to bring field feedback into roadmap discussions, architecture decisions, and platform improvements. Surface recurring implementation patterns and customer requirements that should become product capabilities. Collaborate with Customer Success to support adoption, scale, and technical expansion within strategic accounts. Support internal alignment across Sales, Solutions, Product, and Engineering on what should be sold, how it should be validated, and what good deployment looks like. Key Qualifications 7+ years of experience in a customer-facing technical role such as Solution Architect, Enterprise Architect, Solutions Engineer, Sales Engineer, or similar. Strong experience working with enterprise customers in complex software environments. Proven ability to design solution architectures that connect business problems to scalable technical implementations. Strong hands-on technical fluency, including experience with APIs, integrations, data flows, workflow systems, and enterprise software architectures. Experience with AI/ML systems, including LLM-based applications, orchestration, RAG, automation workflows, or adjacent applied AI use cases. Demonstrated ability to lead proofs of concept, technical validations, or pilot programs for enterprise customers. Ability to communicate effectively with both senior executives and highly technical stakeholders. Strong judgment in balancing technical ambition with customer reality, delivery feasibility, and commercial context. Experience building reusable frameworks, playbooks, or standards for customer-facing technical teams. Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience. Preferred Experience Experience in AI, automation, enterprise SaaS, infrastructure, or data platforms. Experience working in a high-growth startup or scale-up environment. Experience supporting global enterprise accounts across multiple regions. Background in regulated industries such as financial services, insurance, or other complex enterprise environments. Experience building benchmark methodologies, demo environments, or internal technical enablement systems. Prior experience acting as a team lead, guild lead, or functional mentor within a Solutions or Architecture organization. Who You Are You are a systems thinker who can connect customer needs, technical design, and organizational scalability. You are highly credible in front of enterprise customers and calm in complex technical conversations. You care about technical quality, but you also understand speed, pragmatism, and commercial reality. You naturally turn one-off work into repeatable patterns and team standards. You enjoy mentoring others and raising the quality bar across a function. You are structured, proactive, and comfortable operating across ambiguity, complexity, and multiple stakeholders. You take ownership and push work forward without waiting for perfect conditions.