Forward Deployed Engineer

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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

• Work directly with enterprise customers to understand their business needs, operational workflows, pain points, and success criteria. • Design, build, and present agentic solutions, prototypes, and workflows that demonstrate value to customers. • Own end-to-end technical deployments of Wand for US enterprise customers, from evaluation and solution design through production go-live. • Translate customer needs into clear solution designs, agent architectures, workflow logic, integration specs, and deployment plans. • Present technical solutions, demos, prototypes, and deployment plans to customer stakeholders, including technical teams, business leaders, and executives. • Troubleshoot across APIs, authentication, data, workflow logic, agent behavior, and customer systems. • Support late-stage pre-sales when solution design, technical feasibility, implementation planning, or customer value demonstration is critical. • Create implementation playbooks, solution patterns, demo flows, and deployment documentation that make future deployments faster.

🎯 Exigences

• Demonstrated hands-on experience in a customer-facing technical role such as Forward Deployed Engineer, Solutions Engineer, AI Engineer, Implementation Engineer, Solutions Architect, Technical Consultant, or similar. • Strong experience building agents, agentic workflows, LLM-powered applications, or AI automation solutions. • Ability to understand customer needs quickly and translate them into working technical solutions, not just documentation or coordination plans. • Strong practical experience with LLMs, prompt engineering, tool-calling, RAG, orchestration, multi-agent workflows, evaluation, and agent behavior debugging. • Experience with frameworks or tools such as LangGraph, LangChain, CrewAI, or similar agentic/LLM development frameworks. • Strong hands-on skills with APIs, integrations, scripting, debugging, and cloud/web environments. • Coding or scripting ability in Python, JavaScript/TypeScript, or similar. • Ability to build quickly, demo effectively, and iterate based on customer feedback. • Clear communication with both technical and non-technical audiences. • High ownership: you drive customer outcomes, unblock yourself, and move fast without waiting for perfect instructions. • Comfort with ambiguity and shifting priorities in an early-stage, high-growth environment.

🏖️ Avantages

• Flexible work arrangements