Forward Deployed Engineer

🔥 28 minutes ago

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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

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Flexible work arrangements