Forward Deployed Engineer (AI Solutions)

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. This is a hands-on role where you’ll translate customer challenges into scalable technical solutions, working directly with Product and Engineering to refine Aircall’s platform and accelerate adoption. This is a hybrid, revenue driving role across Solutions Engineering, Software Engineering, Consulting, Professional Services, and Product Ownership, reporting to our GTM organization.

Key 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.

Requirements & Tech Stack

• 0-6+ years of experience in technical consulting, solutions engineering, or integration-focused project management.
• Client facing experience required.
• Technical skills:
• 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.
• Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring.
• Tools experience:
• Hands-on experience with low-code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce).
• 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.

Qualifications

• Nice-to-haves:
• Experience in telephony, voice, or contact center systems (SIP/WebRTC, call routing, containment, AHT).
• Familiarity with BI and analytics tools (Looker, BigQuery, Snowflake).
• Exposure to scripting (JavaScript/Python) for light customization and debugging.