[Hiring] Forward Deployed Engineer @Wand Synthesis AI Inc

Role Description

We’re hiring a hands-on Forward Deployed Engineer to work directly with enterprise customers and help them see value from Wand AI quickly from evaluation through production deployment. This is a highly customer-facing role at the intersection of engineering, solution architecture, agentic AI, and customer delivery.

• 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.

Qualifications

• 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.

Requirements

• Experience deploying AI, agentic, automation, or enterprise SaaS products into production environments.
• Experience building customer-facing demos, prototypes, or proof-of-value solutions.
• Experience working 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.

Who thrives here

Builders who can sit with a customer, understand the real problem, quickly build an agentic solution, and present it clearly enough that the customer immediately sees the value. You’ll thrive here if you are technical, customer-facing, fast-moving, and independent.

• You prototype and debug rather than only coordinate.
• You take responsibility for the customer outcome, communicate proactively, flag risks early, and follow through.
• You are comfortable being the technical adult in the room, whether you’re speaking with a customer’s security architect, operations lead, engineering team, or COO.
• We’re looking for someone low-ego, collaborative, sharp, and highly accountable — someone who can build trust with customers while also building real technical solutions.