Senior AI Automation & Platform Architect

Health Hue Digital · Remote (-11, -10, -9.5, -9, -8, -7, -6, -5, -4, -3.5, -3, -2, -1, 0, 1, 2, 3, 3.5, 4, 4.5, 5, 5.5, 5.75, 6, 6.5, 7, 8, 8.75, 9, 9.5, 10, 10.5, 11, 12, 12.75, 13, 14 timezones)

Remote

Full-time

Senior

Posted January 21, 1970

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AI Summary

Health Hue Digital is hiring a senior engineer to architect and maintain automated marketing infrastructure for plastic surgery and medical spa clients. The role centers on building REST API and webhook integrations between CRM and external platforms, designing non-linear automation workflows, embedding AI into lead scoring and messaging, and mapping UTM attribution through the full funnel for ROI reporting.

Job Description

We are looking for a technical powerhouse to architect the automated infrastructure behind our plastic surgery and medical spa clients. This is not a settings-manager role; it is an engineering-first position.

You will build the nervous system of our marketing: connecting systems through their APIs, owning the integration layer, and using AI to make funnels that adapt rather than sit still. If you think in logic gates, data schemas, and JSON payloads, this is your role.

Automation architecture and API integration

Design, deploy, and maintain reusable account templates across dozens of clinic sub-accounts
Build and maintain complex workflows that bridge our CRM with external platforms over REST APIs and webhooks
Build non-linear workflow logic — conditional branches, waits, and goal triggers — that handles a real patient journey
Handle JSON payloads with precision: extract, transform, and load data across systems so lead data stays accurate end to end
Integrate AI into automation steps for lead sentiment analysis, personalised messaging, and content classification

Conversion and funnel engineering

Keep landing pages, tracking, and CRM triggers working as a closed loop
Read developer documentation to diagnose API failures, authentication errors, and script conflicts
Build speed-to-lead engines driven by business hours, lead scoring, and rep availability

Data and attribution

Map UTM parameters through the entire funnel into CRM fields for 1:1 ROI reporting
Push data into reporting pipelines that feed client dashboards

Requirements

Strong hands-on experience with a white-label CRM and marketing automation platform
Fluent with REST APIs, webhooks, and JSON — you read docs rather than guess
Experience building multi-step automation with real branching logic, not linear sequences
Comfortable debugging integrations end to end, across more than one system
Bonus: technical SEO, and experience wiring AI models into production workflows

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Originally posted on Himalayas