Aircall
Forward Deployed Engineer - AI Solutions Engineering
$90K–$136K
Seattle Office · Hybrid · Full-time · Posted Feb 24, 2026
- Experience
- 2–8 years or more.
About the job
Delivers low-code AI Agent integrations and deployments for customers, while improving Aircall’s reusable deployment practices, product adoption, and revenue outcomes.
What you'll do
- Lead customer discovery, design, and cross-functional deployments of AI workflows and integrations.
- Configure AI Agents and build integrations with low-code tools, CRMs, and APIs; share deployment insights with Product and Engineering.
- Drive adoption through reusable frameworks, internal and partner enablement, outbound campaigns, and product revenue initiatives.
What they ask for
- 2–8 years or more in technical consulting, solutions engineering, or integration-focused project management.
- Strong command of APIs, webhooks, and data structures, including JSON, REST, or GraphQL.
- Hands-on experience with low-code orchestration tools and CRM automation.
- Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring; ability to lead cross-functional projects.
Nice to have
- Experience in telephony, voice, or contact center systems.
- Familiarity with BI and analytics tools, or scripting in JavaScript/Python.
Pay
USD 90,000–136,000 per year (base salary)
Tools
Zapier, Make, n8n, Workato, HubSpot, Salesforce, JSON, REST
AI focus
Configure and deploy customer-facing AI Agents, including intents, prompts, actions, guardrails, evaluation, monitoring, and integrations; support AI adoption and product development.
Model-written summary · the original posting is authoritative