Forward Deployed Engineer (AI Solutions) - UKI Market

In this role you will deliver low-code, scalable AI solutions for Aircall customers, linking AI Agents with CRMs and help desks. You will work with cross-functional teams to drive adoption, build reusable frameworks, and guide AI deployment at scale. You’ll translate customer challenges into practical, measurable outcomes and help elevate Aircall’s platform capabilities. This role combines technical consulting with product, GTM, and enablement work to accelerate value for SMBs.

• competitive salary package & benefits
• work-life balance emphasis
• global, diverse team
• growth opportunities (implied)

• Lead customer discovery sessions to map processes and identify automation opportunities
• Design, build, and deploy integrations using low/no-code platforms and CRM automation tools with API connectors
• Collaborate with Engineering to validate feasibility and share learnings for product improvements
• Configure and optimize the AI Agent with intents, prompts, actions, guardrails, and metrics
• Manage complex deployments across functions, timelines, and stakeholders
• Create reusable frameworks, templates, and reference architectures to speed future projects
• Deliver internal enablement and training to raise the technical bar across teams
• Run outbound campaigns within the customer base to generate pipeline and adoption
• Collaborate with GTM leadership to embed routines for pipeline, forecast, and performance tracking
• Own regional top-line targets for assigned products by coordinating with AEs and AMs
• Act as internal product owner for AI-enabled offerings within GTM, shaping roadmaps with Product/PMM
• Drive product education for SIs and channel partners
• Maintain awareness of AI/CX industry trends to inform product and GTM strategy

• 0-6+ years in technical consulting, solutions engineering, or integration-focused PM
• Client-facing experience
• Strong command of APIs, webhooks, and data structures (JSON, REST, GraphQL)
• 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
• Ability to lead cross-functional projects with Engineering, Product, and Customer Success
• Excellent communication and stakeholder management skills
• Growth mindset and willingness to continuously learn new tools and techniques
• Nice-to-haves: experience in telephony/voice or contact center systems; familiarity with BI tools; scripting (JavaScript/Python) for light customization

• excellent communication
• stakeholder management
• collaboration
• APIs, webhooks, JSON, REST, GraphQL
• low-code automation tools (Zapier, Make, n8n, Workato)
• CRM automation (HubSpot, Salesforce)