Forward-Deployed AI Solutions Engineer

Aircall; Bellevue (WA); Hybrid; USD 90,000 - 136,000; Full time

Job summary

Aircall in Bellevue, WA, is seeking a Forward Deployed Engineer to lead end‑to‑end, low‑code AI solutions for Aircall customers. You’ll connect AI Agents with CRMs, help desks, and communication tools, while driving cross‑functional initiatives and upskilling the team.

You will design scalable patterns, collaborate with Product and Engineering to refine the platform, and accelerate AI adoption across SMB customers. A strong consulting mindset and hands‑on integration experience are essential.

Qualifications

• 2–8 years or more as a Technical Consultant, Solutions Engineer, Forward Deployed Engineer, with 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.
• Excellent communication and stakeholder management skills, translating between technical and business audiences.

Responsibilities

• 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.
• Create scalable models and reusable frameworks (templates, playbooks, reference architectures) that make future projects faster and more consistent.
• Champion continuous learning and enablement — train peers, run internal workshops, and document best practices to raise the technical bar across the team.
• Run global, targeted outbound campaigns within the existing customer base to generate pipeline and accelerate adoption, working closely with the customer marketing team.
• Collaborate with GTM leadership to embed routines and cadences that drive accountability for new product pipeline, forecast accuracy, and performance tracking.
• Own regional top‑line targets for assigned products (e.g., AI Voice Agent MRR generated per area) by collaborating with AEs and AMs who hold add‑on quotas.
• Act as an internal product owner within the GTM function—defining product‑specific MRR strategies, coordinating cross‑functional support, and ensuring Aircall delivers the leading AI‑enabled communication platform.
• Collaborate with Product and PMM to shape the AI Voice Agent roadmap based on customer needs, integration insights, and field learnings.
• Drive internal and external product education, including enablement for System Integrators (SIs) and channel partners.
• Maintain deep awareness of AI and CX industry trends, ensuring Aircall’s positioning remains competitive and insights continuously feed back into product and GTM strategies.

Skills

APIs

Low-code tools

CRM automation

Project management

Cross-functional leadership

Tools

Zapier

Make

n8n

Workato

Job description

Aircall in Bellevue, WA, is seeking a Forward Deployed Engineer to lead end‑to‑end, low‑code AI solutions for Aircall customers. You’ll connect AI Agents with CRMs, help desks, and communication tools, while driving cross‑functional initiatives and upskilling the team.

You will design scalable patterns, collaborate with Product and Engineering to refine the platform, and accelerate AI adoption across SMB customers. A strong consulting mindset and hands‑on integration experience are essential.