Forward Deployed Engineer - AI Solutions Engineering

About the Role

As a Forward‑Deployed Engineer, you’ll own the end‑to‑end delivery of technically sound, low‑code AI solutions for Aircall customers. You’ll design, implement, and operationalize workflows that connect the AI Agent with CRMs, help desks, and communication tools. You’ll also play a key role in driving team upskilling, building reusable frameworks, and leading cross‑functional initiatives that improve how Aircall deploys AI at scale.

• 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 (Hub Spot 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.

• 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. Even better if you have experience with MCP Servers.
• Hands‑on experience with low‑code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (Hub Spot, 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.
• A growth mindset — constantly learning new tools, frameworks, and ways to improve the customer experience and team capability.
• Nice‑to‑haves:
• Experience in telephony, voice, or contact center systems (SIP/WebRTC, call routing, containment, AHT).
• Familiarity with BI and analytics tools (Looker, Big Query, Snowflake).
• Exposure to scripting (JavaScript/Python) for light customization and debugging.
• Consistent delivery of high‑quality, scalable AI Agent deployments with clear business outcomes.
• Shortened time‑to‑first‑value and increased automation adoption across SMB customers.
• Reusable frameworks, models, and templates actively used by peers and partners.
• Strong collaboration with Engineering and Product to enhance platform capabilities.
• Demonstrated leadership in…