Forward Deployed Engineer

🕒 vor 10 Tagen

Jetzt Bewerben

Ähnliche Remote-Jobs finden

E-Mail-Benachrichtigung für neue Jobs einrichten

📊 Überprüfen Sie Ihre Lebenslauf-Bewertung für diese Stelle

Verbessern Sie Ihre Chancen auf ein Vorstellungsgespräch, indem Sie Ihre Lebenslauf-Bewertung vor der Bewerbung überprüfen.

Lebenslauf hochladen

Wand AI

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

Gegründet 2022

🤖 Künstliche Intelligenz

🏢 Unternehmen

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Wand AI ist ein Unternehmen für Unternehmenssoftware (Wand Synthesis AI Inc. ), das die "Agentic Labor Infrastructure" entwickelt, um Regierungen und großen Unternehmen zu ermöglichen, hybride Arbeitskräfte zu schaffen, zu verwalten und zu skalieren, die aus Menschen und autonomen KI-Agenten bestehen. Ihre Plattform (markiert als Wand OS / Agentic Workforce Technology) bietet Management, Überwachung, Interoperabilität zwischen Systemen, Sicherheitsoptionen (SOC2-bereit, lokal/Private Cloud/gehostet), Dashboards, Entscheidungstracking und Werkzeuge zur Bereitstellung und Steuerung agentischer Arbeitsabläufe in großem Maßstab. Wand positioniert sich als B2B-/Unternehmensanbieter, der KI in operatives Arbeitsleben für regulierte und groß angelegte Organisationen verwandelt.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• Flexible work arrangements