Principal AI Solution Architect – Sales

🕒 il y a 2 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🔴 Expert

💸 Ingénieur technico-commercial

👻 Score fantôme 18%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Wand AI

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2022

🤖 Intelligence artificielle

🏢 Entreprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Wand AI est une entreprise de logiciels d'entreprise (Wand Synthesis AI Inc. ) qui développe l'« infrastructure du travail agentique » pour permettre aux gouvernements et aux grandes entreprises de créer, gérer et étendre des équipes hybrides composées d'humains et d'agents autonomes d'IA. Leur plateforme (marquée Wand OS / Agentic Workforce Technology) offre des solutions de gestion, de supervision, d'interopérabilité entre les systèmes, des options de sécurité (prête pour SOC2, sur site/nuage privé/hébergé), des tableaux de bord, le suivi des décisions, et des outils pour déployer et régir des flux de travail agentiques à grande échelle. Wand se positionne comme un fournisseur B2B/entreprise transformant l'IA en travail opérationnel pour des organisations réglementées et à grande échelle.

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

🎯 Exigences

• 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

🏖️ Avantages

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

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