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The Key Support Services

AI Operations Lead

The Key Support Services

. Oversee daily operations of the AI gateway, including model routing, rate limits, cataloguing, fallback pathways and access permissions .

Posted 9/25/2026full-timeRemote • United KingdomSenior💰 £60,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in overseeing AI gateway operations, including model routing and access permissions, while ensuring compliance with AI governance policies. Proficient in automating processes and managing vendor relationships to drive internal AI adoption and optimize resource usage.

Highest-signal resume keywords
AI Platform AdministrationREST API UnderstandingIncident ManagementPython ScriptingAWS Cloud Certification

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Model RoutingLow-Code AutomationHuman-in-the-Loop WorkflowsToken Consumption TrackingRBACJSON StructuresMCP ConfigurationAI Governance FrameworksSaaS Automation ToolsOperational Control
Soft Skills
Excellent CommunicationTeam UpskillingCommunity Building
Tools & Technologies
LiteLLMN8nMakePower AutomateLangfuseDatadogAmazon BedrockAnthropic
Certifications & Qualifications
AWS Cloud CertificationAI Governance CertificationISO/IEC 42001NIST AI RMFISO 27001SOC 2
Industry Keywords
AI GovernanceSecurity-Sensitive EnvironmentsITILOperational ChangesAudit Trails

Tech Stack

Tools & technologies
AWSCloudJavaScriptPython

About the role

Key responsibilities & impact
  • Oversee daily operations of the AI gateway, including model routing, rate limits, cataloguing, fallback pathways and access permissions
  • Build and maintain low-code automations integrating enterprise applications with approved AI services
  • Convert manual processes into secure, auditable, human-in-the-loop workflows
  • Configure, test and deploy AI agents and Model Context Protocol (MCP) connections
  • Enforce least-privilege access across agent knowledge bases
  • Monitor production behaviour to ensure security and prevent hallucinations
  • Enforce AI governance policies across models, agents and workflows
  • Maintain audit trails and support legal, risk and privacy teams with AI impact assessments and data residency checks
  • Track token consumption, API spend and usage budgets
  • Implement quotas and alert thresholds to optimize usage and maintain budget compliance
  • Handle access requests, incidents and operational changes
  • Maintain runbooks, manage vendor SLAs and resolve platform issues
  • Onboard and upskill internal teams on prompt structure and responsible AI tools
  • Foster a company-wide Community of Practice
  • Drive process automation projects, manage vendor relationships and lead internal AI adoption

Requirements

What you’ll need
  • Proven track record in technology operations, platform administration, application support or service management
  • Hands-on experience administering AI platforms/gateways (e.g. LiteLLM) or SaaS automation tools (e.g. n8n, Make, Power Automate)
  • Solid understanding of REST APIs, webhooks, JSON structures, RBAC and secret management
  • Familiarity with cloud AI providers (Amazon Bedrock, Anthropic) and core GenAI concepts (tokens, context windows, embeddings)
  • Strong incident management, system documentation and operational control experience
  • Excellent communication skills with the ability to bridge technical concepts and business needs
  • Experience in ITIL-aligned or highly regulated, security-sensitive environments
  • Exposure to Model Context Protocol (MCP), LLM observability tools (e.g. Langfuse, Datadog) or AWS infrastructure
  • Basic Python or JavaScript scripting capabilities for troubleshooting and data mapping
  • Awareness of AI governance frameworks (e.g. ISO/IEC 42001, NIST AI RMF) or info-sec standards (ISO 27001, SOC 2)
  • Relevant AWS Cloud or AI Governance certifications

Benefits

Comp & perks
  • Generous holiday allowance
  • Flexible hours
  • Buying and selling holiday
  • Enhanced maternity pay
  • Free breakfast, fruit, and drinks
  • Regular socials
  • Work-life balance
  • Training and support to succeed and continue to progress