Forward Deployed Engineer

About the role

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.

Responsibilities

• 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.

Comfortable with ambiguity and shifting priorities in an early-stage, high-growth environment.

Qualifications

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.

Skills

Technical skills:

• Hands-on experience in a customer-facing technical role
• Strong experience building agents, agentic workflows, LLM-powered applications, or AI automation solutions
• 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

Communication skills:

• Clear communication with both technical and non-technical audiences
• High ownership: drive customer outcomes, unblock yourself, and move fast without waiting for perfect instructions
• Comfortable with ambiguity and shifting priorities in an early-stage, high-growth environment

Benefits

Join Wand in leading the Agentic Shift

Pay

N/A

Schedule

N/A