Forward Deployed Engineer (AI Solutions) - NA West Market

Aircall.io, Inc.•Seattle, WA

2h•$120,000 - $190,000

About The Position

Aircall is hiring a Forward-Deployed Engineer to own the end-to-end delivery of technically sound, low-code AI solutions for customers. The role designs, implements, and operationalizes workflows connecting Aircall’s AI Agent with CRMs, help desks, and communication tools, while translating customer challenges into scalable technical solutions. It also contributes to team upskilling, reusable deployment frameworks, and cross-functional initiatives that improve how Aircall deploys AI at scale. This is a hands-on, hybrid revenue-driving role spanning Solutions Engineering, Software Engineering, Consulting, Professional Services, and Product Ownership. It is not a software engineering role, and reports to the GTM organization. The position works closely with customers and teams across Product, Engineering, Sales, Solutions, Customer Success, and marketing to deliver measurable outcomes, support AI adoption, and refine Aircall’s platform. The role also owns regional top-line targets for assigned products, supports product-specific MRR strategies and pipeline generation, and helps shape the AI Voice Agent roadmap using customer needs and field insights. The listed base salary range is $120,000–$190,000 per year, excluding a quarterly bonus of 20 percent and other benefits. The actual offer may depend on skills, location, qualifications, and experience.

Requirements

0–6+ years of experience in technical consulting, solutions engineering, or integration-focused project management.
Client-facing experience.
Strong command of APIs, webhooks, and data structures such as JSON, REST, and GraphQL, including the ability to design and troubleshoot integrations.
Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring.
Hands-on experience with low-code orchestration tools such as Zapier, Make, n8n, or Workato, and CRM automation tools such as HubSpot or Salesforce.
Ability to lead cross-functional projects involving Engineering, Product, and Customer Success to deliver scalable outcomes.
Excellent communication and stakeholder management skills, with the ability to translate between technical and business audiences.
Growth mindset and willingness to continuously learn new tools and frameworks and improve customer experience and team capability.

Nice To Haves

Experience with MCP Servers.
Experience in telephony, voice, or contact center systems, including SIP/WebRTC, call routing, containment, or AHT.
Familiarity with BI and analytics tools such as Looker, BigQuery, or Snowflake.
Exposure to JavaScript or Python for light customization and debugging.

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 and CRM automation tools 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, including intents, prompts, actions, guardrails, and performance metrics.
Manage complex, cross-functional deployments by defining timelines, aligning stakeholders, ensuring accountability, and delivering on time and within scope.
Create scalable models and reusable frameworks, including templates, playbooks, and reference architectures.
Train peers, run internal workshops, and document best practices to improve team capability.
Run targeted outbound campaigns within the existing customer base to generate pipeline and accelerate adoption, in collaboration with customer marketing.
Work with GTM leadership to establish routines and cadences for accountability around new product pipeline, forecast accuracy, and performance tracking.
Own regional top-line targets for assigned products, such as AI Voice Agent MRR generated per area, collaborating with AEs and AMs who hold add-on quotas.
Act as an internal product owner within the GTM function by defining product-specific MRR strategies, coordinating cross-functional support, and supporting delivery of Aircall’s 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 and channel partners.
Monitor AI and CX industry trends and feed insights into product and GTM strategies.
Deliver scalable AI Agent deployments with clear business outcomes and support improvements in time-to-first-value, automation adoption, customer metrics, and revenue impact.