Aircall
Forward Deployed Engineer - AI Solutions Engineering
$90K–$136K
San Francisco Office · Hybrid · Full-time · Posted Dec 1, 2025
- Experience
- 5–8 years in technical consulting, solutions engineering, or integration-focused project management.
About the job
Owns customer-facing delivery of low-code AI Agent integrations and workflows, while driving adoption, revenue outcomes, and scalable deployment practices.
What you'll do
- Lead customer discovery, design, and cross-functional deployments of AI Agent solutions and integrations.
- Configure AI Agent intents, prompts, actions, guardrails, and performance metrics; create reusable frameworks and enablement materials.
- Drive product adoption and assigned regional revenue targets, and share customer insights with Product and Engineering.
What they ask for
- 5–8 years in technical consulting, solutions engineering, or integration-focused project management.
- Strong command of APIs, webhooks, and data structures including JSON, REST, and GraphQL.
- Hands-on experience with low-code orchestration tools and CRM automation.
- Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring; proven cross-functional project leadership.
Nice to have
- Experience in telephony, voice, or contact center systems.
- Familiarity with BI and analytics tools; scripting exposure for light customization and debugging.
Pay
USD 90,000–136,000 (per-year-salary) base salary
Tools
Zapier, Make, n8n, Workato, HubSpot, Salesforce, JSON, GraphQL
AI focus
Configure and deploy customer AI Agent workflows, including intents, prompts, actions, guardrails, evaluation, and monitoring; support AI adoption and product improvements.
Model-written summary · the original posting is authoritative