Principal AI Solution Architect – Sales

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

💸 Sales Engineer

👻 Ghost score 12%

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Wand AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2022

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Wand AI is an enterprise software company (Wand Synthesis AI Inc. ) that builds the “Agentic Labor Infrastructure” to enable governments and large enterprises to create, manage, and scale hybrid workforces composed of humans and autonomous AI agents. Their platform (branded Wand OS / Agentic Workforce Technology) provides management, oversight, interoperability across systems, security options (SOC2-ready, on‑premise/private cloud/hosted), dashboards, decision tracking, and tools for deploying and governing agentic workflows at scale. Wand positions itself as a B2B/enterprise provider that turns AI into operational labor for regulated and large-scale organizations.

📋 Description

• Lead the technical customer journey for Wand’s global enterprise accounts • Serve as the primary technical counterpart for strategic enterprise accounts across the customer lifecycle • Lead technical discovery to understand workflows, systems, constraints, data environments, and success criteria • Translate ambiguous business problems into solution architectures and implementation approaches • Partner with Sales on strategic deals and Customer Success on long-term success and expansion • Design scalable enterprise solution architectures using Wand’s platform, workflows, agents, integrations, and governance requirements • Define technical approaches for proofs of concept, pilots, and production rollouts • Guide Solutions Engineers and Engineering teams through implementation and design trade-offs • Help customers navigate integration, security, reliability, and operationalization considerations • Define proof strategies, POC success criteria, benchmarks, evaluation logic, and demo-to-pilot progression • Build and evolve the Solutions Engineering playbook, including discovery frameworks, pilot standards, qualification criteria, and engagement practices • Develop reusable reference architectures, benchmark templates, workflow patterns, and validation frameworks • Own and improve the demo lab strategy and technical demonstration environments • Coach and mentor Solutions Engineers and other customer-facing technical team members • Drive consistency in POCs, technical discovery, benchmarks, and demo preparation globally • Identify and close gaps in tools, processes, enablement, and documentation • Partner with Product and Engineering on roadmap discussions, architecture decisions, and platform improvements • Surface recurring implementation patterns and customer requirements for product capabilities • Collaborate with Customer Success on adoption, scale, and technical expansion • Contribute to the long-term operating model of the Solutions organization

🎯 Requirements

• 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 connecting business problems to scalable technical implementations • Strong hands-on technical fluency 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 senior executives and highly technical stakeholders • Strong judgment 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 in AI, automation, enterprise SaaS, infrastructure, or data platforms • Preferred: experience in a high-growth startup or scale-up environment • Preferred: experience supporting global enterprise accounts across multiple regions • Preferred: background in regulated industries such as financial services or insurance • Preferred: experience building benchmark methodologies, demo environments, or internal technical enablement systems • Preferred: prior experience as a team lead, guild lead, or functional mentor • Visa sponsorship requirement is asked during application

🏖️ Benefits

• AI Notetaker interview recording and transcription, with the option to opt out without impact on candidacy