At a Glance
- Tasks: Lead AI solution delivery and design integrations for customer workflows.
- Company: Join Aircall, a unicorn redefining customer communications with innovative AI technology.
- Benefits: Enjoy competitive salary, work-life balance, and a fast-learning environment.
- Other info: Be part of a diverse team that values continuous learning and collaboration.
- Why this job: Make an impact by connecting cutting-edge AI with real-world applications.
- Qualifications: Experience in technical consulting and strong API knowledge required.
The predicted salary is between 72000 - 88000 £ per year.
Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.
About the Team
Aircall’s Forward Deployed Engineering team connects our innovative AI Agents technology to real-world SMB workflows. We turn possibility into production — delivering automation that improves customer experience, boosts productivity, and unlocks new business value. Working cross-functionally with Product, Engineering, Sales, Solutions, and Customer Success, the team ensures every deployment delivers measurable impact. This is a dynamic, hands-on role at the intersection of technical consulting, project leadership, and AI adoption strategy.
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.
What you'll do:
- 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.
What you'll bring:
- 0-6+ years of experience 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 (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.
- 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, BigQuery, Snowflake).
- Exposure to scripting (JavaScript/Python) for light customization and debugging.
What Success Looks Like:
- 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 team enablement and upskilling, with measurable impact on technical excellence.
- Sustained improvements in customer metrics (containment, AHT, CSAT) and revenue impact (ARR, NRR) driven by your solutions.
Why This Role is Unique
This is a role for builders, connectors, and enablers. You’ll be at the intersection of AI innovation, customer experience, and scalable delivery — combining technical curiosity with a consulting mindset. Every project you lead not only delivers value for customers but also strengthens Aircall’s internal capability to deploy AI faster and smarter.
Our people matter, work-life balance is important at Aircall. Fast-learning environment, entrepreneurial and strong team spirit. Competitive salary package & benefits.
DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey. We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all.
Forward Deployed Engineer (AI Solutions) - UKI Market employer: Aircall.io, Inc.
Aircall is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong focus on employee growth, you will have the opportunity to develop cutting-edge AI tools while working alongside talented professionals in a supportive environment. The company values creativity and initiative, making it an ideal place for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer (AI Solutions) - UKI Market
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Aircall.io, Inc. or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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✨Tap into Online Developer Communities
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✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Forward Deployed Engineer (AI Solutions) - UKI Market
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Aircall.io, Inc..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Aircall.io, Inc. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Aircall.io, Inc.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Aircall.io, Inc. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
