Senior Forward Deployed Engineer – Key Accounts (AI Solutions)

Aircall.io, Inc.•San Francisco, CA

30d•$175,000 - $230,000•Hybrid

About The Position

Aircall is seeking a Senior Forward Deployed Engineer for Key Accounts, focusing on AI Solutions. This role involves being the embedded technical partner for a select group of Aircall's most strategic global accounts. The primary goal is to drive the adoption of agentic AI solutions use case by use case, working closely with Key Account Managers. The position requires a deep understanding of technical consulting, project leadership, and AI adoption strategy, with a focus on embedding within customer workflows to expand AI agentic adoption over time. This is a hybrid role that blends Solutions Engineering, Consulting, Professional Services, and Product Ownership, requiring fluency in APIs and confidence in leading complex technical engagements with senior customer stakeholders.

Requirements

6+ years in technical consulting, solutions engineering, forward-deployed engineering, or integration-focused professional services, ideally with time owning strategic or enterprise accounts.
Proven ability to own a long-term customer relationship as the technical authority, operating with autonomy and credibility in front of senior (VP / CxO) stakeholders.
Strong command of APIs, webhooks, and data structures (JSON, REST, GraphQL).
Hands-on experience with low-code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce).
Proficiency in scripting (JavaScript and/or Python) used to build, customize, and debug integrations.
Proven experience running account-based motions in partnership with sales / account management on strategic or enterprise customers.
Practical understanding of AI workflow configuration, including prompt engineering, evaluation, and monitoring.
Proven ability to lead complex, cross-functional programs with Engineering, Product, and Customer Success to deliver scalable outcomes.
Excellent communication and stakeholder management skills, translating fluently 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 centre systems (SIP/WebRTC, call routing, containment, AHT).
Familiarity with BI and analytics tools (Looker, BigQuery, Snowflake).
Experience with MCP Servers.

Responsibilities

Own a sustained, embedded relationship with each account in your portfolio as the customer's go-to technical authority on agentic AI.
Partner directly with the Key Account Manager on a joint account plan, owning the agentic use-case roadmap and technical execution.
Land the first use case fast, then expand by deploying an initial high-value workflow, instrumenting the outcome, and using proven value to open the next use case and buying center.
Run an evergreen use-case discovery cadence to continuously surface, qualify, and prioritize new automation opportunities.
Serve as the customer's trusted advisor on agentic strategy, mapping their AI roadmap 6–12 months out.
Lead discovery and solution-design sessions with customer stakeholders 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.
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.
Collaborate with Engineering to validate technical feasibility, resolve blockers, and feed field learnings back into the product.
Create scalable models and reusable frameworks (templates, playbooks, reference architectures) to accelerate expansion.
Champion continuous learning and enablement by mentoring FDEs, running internal workshops, and documenting best practices.
Collaborate with GTM leadership to embed routines and cadences that drive accountability for expansion pipeline, forecast accuracy, and performance tracking.
Contribute to expansion pipeline and MRR within your portfolio, jointly with the KAM, by defining use-case-specific expansion strategies and coordinating support.
Shape the AI Agent roadmap with Product and PMM 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 to ensure Aircall's positioning stays competitive and insights feed back into product and GTM strategy.