AI Automation Architect for Scalable Ops

Mongoose Gray

England

On-site

GBP 125,000 - 150,000

Full time

8 days ago
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Job summary

Mongoose Gray is scaling rapidly and seeks an AI Operational Excellence Engineer to boost internal efficiency by building AI-powered systems, agents, and automations that remove friction across ops, support, finance, and GTM. This hybrid builder/strategist role blends engineering, process ownership, and internal consulting.

You'll audit workflows, design end-to-end solutions, own cycle time and cost per process, and partner with leads to translate ambiguous processes into reliable systems.

Qualifications

  • 3–6+ years in ops, automation engineering, or BizOps.
  • Hands-on experience with LLM APIs, agents, or workflow tools.
  • Strong SQL and scripting; can move between code and no-code.
  • Proven track record shipping adopted solutions.
  • Startup mindset: ambiguity and fast iteration.
  • Process-thinking to identify bottlenecks.

Responsibilities

  • Audit workflows to identify high-leverage automation opportunities.
  • Design and deploy AI agents and automations to remove bottlenecks.
  • Collaborate with leads to translate processes into scalable systems.
  • Own operational metrics and drive measurable improvement.
  • Evaluate AI tooling with speed and pragmatism.
  • Build dashboards and monitoring for real-time health.
  • Create scalable playbooks and documentation for growth.

Skills

Ops experience
Automation engineering
LLM APIs
Agentic frameworks
Workflow automation
SQL
Scripting

Tools

Python
Zapier/Make
Internal tooling
RAG pipelines

Job description

Mongoose Gray is scaling rapidly and seeks an AI Operational Excellence Engineer to boost internal efficiency by building AI-powered systems, agents, and automations that remove friction across ops, support, finance, and GTM. This hybrid builder/strategist role blends engineering, process ownership, and internal consulting.

You'll audit workflows, design end-to-end solutions, own cycle time and cost per process, and partner with leads to translate ambiguous processes into reliable systems.

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