Forward Deployed Engineer - AI Solutions Engineering

Job summary

Responsibilities

At Aircall, you’ll join a company in motion. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.

• Lead customer discovery and design sessions to map business processes, identify automation opportunities, and define solution architecture.
• Design, build, and deploy integrations using low/no-code platforms (Zapier, Make, n8n, Workato) and CRM automation tools (HubSpot Workflows, Salesforce Flow) with API connectors.
• Collaborate with Engineering to validate technical feasibility, resolve blockers, and share field learnings that inform product improvements.
• Configure and optimize the AI Agent — defining intents, prompts, actions, guardrails, and performance metrics.
• Manage complex, cross-functional deployments — defining timelines, aligning stakeholders, ensuring accountability, and delivering on time and within scope.

What they're looking for

• 5–8 years in technical consulting, solutions engineering, or integration-focused project management.
• Strong command of APIs, webhooks, and data structures (JSON, REST, GraphQL) — able to design and troubleshoot integrations confidently.
• Hands-on experience with low-code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce).
• Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring.
• Proven ability to lead cross-functional projects, working with Engineering, Product, and Customer Success to deliver scalable outcomes.

Tech stack

• Zapier
• n8n
• Looker
• BigQuery
• Snowflake
• Python