Forward Deployed Engineer

đŸ”„ 0 minutes ago

⛩ Asia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

đŸ‘·đŸ»â€â™€ïž Engineer

đŸ‘» Ghost score 12%

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Logo of Wand AI

Wand AI

51 - 200 employees

Founded 2022

đŸ€– 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 business needs, operational workflows, pain points, and success criteria ‱ Design, build, and present agentic solutions, prototypes, and workflows demonstrating customer value ‱ 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 solution designs, agent architectures, workflow logic, integration specifications, and deployment plans ‱ Present technical solutions, demos, prototypes, and deployment plans to technical teams, business leaders, and executives ‱ Troubleshoot APIs, authentication, data, workflow logic, agent behavior, and customer systems ‱ Support late-stage pre-sales involving solution design, technical feasibility, implementation planning, and customer value demonstration ‱ Create implementation playbooks, solution patterns, demo flows, and deployment documentation

🎯 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 ‱ Strong practical experience with LLMs, prompt engineering, tool-calling, RAG, orchestration, multi-agent workflows, evaluation, and agent behavior debugging ‱ Experience with 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 technical and non-technical audiences ‱ High ownership and comfort with ambiguity and shifting priorities ‱ Experience deploying AI, agentic, automation, or enterprise SaaS products into production environments ‱ Experience building customer-facing demos, prototypes, or proof-of-value solutions ‱ Experience in pre-sales, post-sales, implementation, or field engineering environments ‱ Integration experience with REST APIs, webhooks, OAuth, JWT, mTLS, and third-party enterprise systems ‱ Experience with VPC or on-prem deployments, cloud infrastructure, containers, databases, logs, and production troubleshooting ‱ Familiarity with enterprise security, data privacy, RBAC, audit, governance, and compliance requirements ‱ Experience working with regulated industries or enterprise customers with complex security and compliance needs ‱ Prior startup experience in an early-stage or high-growth setting

đŸ–ïž Benefits

‱ AI Notetaker used to record and transcribe interviews, with the option to opt out without impacting candidacy

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