Role : AI Automation Executive

Location : Remote (Aligned with UK time zone)

Experience : 3-5 Years

Compensation : Up to 25 lpa

About the Role :

We are hiring an AI Automation Executive to join the AI Transformation team, reporting to the Head of AI Transformation. This is an end-to-end role : you will sit with team leads across the business, identify broken or inefficient processes, scope and estimate the ROI of automating them, and ship the solution - typically as an n8n workflow, Anthropic Managed Agent, or a combination of the two.

Every project ladders back to three quarterly objectives : revenue generated by AI automations, hours saved across the business, and a shared AI knowledge layer live across every department. If you cannot tie a piece of work back to one of those three, we dont do it.

Key Responsibilities :

Execution - Ship Automations That Move the Business :

- Lead cross-team discovery conversations with department leads to surface broken or inefficient processes that are good candidates for automation.

- Scope each opportunity end-to-end : write the brief, estimate hours saved and revenue impact, and stamp it on the Linear ticket before build.

- Design, build, and deploy production-grade workflows in n8n - multi-step, fault-tolerant, with clear error handling and monitoring.

- Build AI-driven workflows using Anthropic (primary) and OpenAI - prompt engineering, Managed Agents, tool use, and conversational flows where appropriate.

- Develop and maintain integrations across the Healf stack via APIs, webhooks, and MCP - Shopify, Snowflake, Slack, Linear, Airtable, Notion, Gorgias, Xero.

- Own automations in production : monitor, debug, perform root-cause analysis on failures, and keep workflows reliable enough that the rest of the business can trust them.

Enablement - Build the AI Knowledge Layer :

- Contribute to the shared AI knowledge layer - ingesting SOPs, building MCP servers, and shipping skills that other teams can use.

- Author and maintain MCP integrations and shared skills that lift other teams productivity, not just your own.

- Run training and enablement sessions for non-technical teams (Claude 101, n8n basics, agent building) so the rest of the team can build on top of what we deliver.

- Maintain clean technical documentation : workflow diagrams, SOPs, architecture notes, and post-mortems.

Requirements :

- Strong hands-on n8n experience - workflow design, custom nodes, scaling, self-hosted deployments, and an opinion on keeping large workflow estates maintainable.

- Working fluency with AI/LLM APIs - Anthropic and/or OpenAI in production. You can reason about prompt design, agent loops, tool use, context windows, and where AI is the wrong tool.

- Solid scripting ability - JavaScript preferred (n8n code nodes, custom logic); Python a plus.

- REST APIs, OAuth, JSON, webhooks - advanced. You can wire up complex integrations without supervision.

- Production reliability mindset - logging, monitoring, alerting, retries, idempotency, and root-cause analysis on critical failures.

- Commercial framing - you can quantify hours saved and revenue impact for a piece of work, defend the number, and revisit it after launch.

- Discovery and scoping - comfortable sitting with non-technical team leads, asking the right questions, and translating their pain into a clear automation brief.

- Independent ownership - you can take a problem from first conversation to deployed automation without being managed step-by-step.

- Enablement instinct - you can train and mentor others on the tools you build. You value the leverage of teaching as much as the leverage of shipping.

Preferred Skills :

- Experience authoring or consuming MCP servers (Model Context Protocol).

- Experience with Anthropic Managed Agents, Claude Code, or Claude Cowork.

- E-commerce / Shopify experience, particularly at scale (Snowflake-backed analytics rather than API pagination workarounds).

- Prior ownership of an automation portfolio with measurable hours-saved or revenue-impact reporting.

- Self-hosting n8n, Docker, and basic cloud deployment hygiene (AWS, GCP, or Azure).

- Voice AI exposure (Vapi or similar).

- Familiarity with security and data governance - secrets management, PII handling, human-in-the-loop review gates.

Experience :

- 35 years in workflow automation, integration engineering, or AI/automation architecture.

- Track record of high-volume, production-critical automations - ideally with a number attached (hours saved, revenue generated, processes replaced).

- Exposure to tools like Zapier, Make, or similar platforms alongside n8n.

- Experience with branching logic, queues, async processes, and non-trivial data transformations.

Education :

Bachelors degree in Computer Science, IT, or Engineering - a strong portfolio of shipped work matters more than any credential.

Why Join Us :

- Work at the centre of a genuinely AI-native business - not a side project, the core strategy.

- High ownership and end-to-end accountability from day one.

- Collaborate with a tight, cross-functional team and direct access to the Founder and CTO.

- Build automations that move real business metrics - every project has a number attached.

- Flexible, remote work environment aligned to UK time zone.