AI Automation Engineer

CloserStill Media

. Work with Finance, HR, Operations, and Customer Success teams to map manual processes .

Posted 11/11/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in delivering and supporting production automations, integrating AI APIs, and managing workflows across various business functions. Proficient in utilizing automation platforms and ensuring compliance with security and privacy standards.

Highest-signal resume keywords

Power AutomateAzure Logic AppsPythonJavaScriptAI API Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Automation PlatformsREST APIsJSONSQLSystems IntegrationDebuggingWorkflow DocumentationData Flow ManagementException HandlingNoSQL Databases

Soft Skills

Clear CommunicationMethodical Approach

Tools & Technologies

N8nMake.comZapierUiPathOpenAIAnthropic

Industry Keywords

AutomationRPA EngineeringAI OrchestrationCloud Business SystemsCompliance

Tech Stack

Tools & technologies

AzureCloudJavaScriptNoSQLPythonRPASQL

About the role

Key responsibilities & impact

Work with Finance, HR, Operations, and Customer Success teams to map manual processes
Identify and score automation opportunities based on benefit, complexity, and risk
Choose between straightforward workflows and AI-based approaches
Establish baselines and measure automation impact
Build, test, and deploy end-to-end workflows using automation platforms, APIs, and LLM agents
Extract and validate information from emails, PDFs, invoices, and contracts
Connect cloud business systems through secure, reliable data flows
Implement approvals, permissions, exception handling, and handoffs to business users
Test workflow and AI output quality before deployment
Add logging, alerts, and recovery procedures
Support live automations and investigate failures
Manage changes to APIs and systems
Document workflows and ensure compliance with security, privacy, and access rules
Collaborate with the AI/ML Engineer on shared components

Requirements

What you’ll need

Experience delivering and supporting production automations with measurable benefits
Hands-on experience with Power Automate, Azure Logic Apps, n8n, Make.com, Zapier, or UiPath
Experience integrating AI APIs such as OpenAI or Anthropic and judging output quality
Strong Python and JavaScript skills
Understanding of REST APIs, JSON, SQL, and secure credential handling
Ability to break complex processes into clear steps and identify exceptions
Clear communication with non-technical stakeholders
Practical, methodical approach to debugging
Desirable: systems integration, backend development, DevOps, or RPA engineering experience
Desirable: NoSQL databases or AI orchestration frameworks
Sponsorship is not usually offered for this role

Benefits

Comp & perks

Opportunity to grow and shape your own career path
Inclusive and collaborative workplace
Reasonable adjustments available throughout the recruitment process
Global and multicultural work environment
Employee development opportunities
Potential DBS or credit check where required by the role