Ai operations engineer

Lead operational management of AI-powered workflows, applications and agents across the organisation Coordinate deployment of AI applications, agents and integrations across development, test and production environments Ensure AWS, Azure and related cloud environments are secure, observable and operationally ready Manage environment configuration, secrets, credentials and dependency mapping Improve operational repeatability through infrastructure-as-code, automated configuration, deployment controls and rollback mechanisms Oversee credentials, permissions and access controls using Microsoft Entra and Salesforce Manage the lifecycle of AI agents and automations, including configuration, updates, version control and decommissioning Maintain and govern integrations between AI tools and enterprise platforms Own support processes, manage incidents and troubleshoot operational issues Diagnose issues across cloud infrastructure, identity platforms, Saa S applications, APIs, workflow tooling and agent orchestration layers Track usage, access patterns, workflow execution and operational health Ensure compliance with security, data protection, access control and responsible AI policies Develop and maintain operational playbooks, runbooks, recovery procedures and documentation Collaborate with Technology, Security, Product and Business teams Manage AI platform vendors including Microsoft, Salesforce, Anthropic and Mindflow Drive continuous improvement in reliability, usability, security and efficiency of AI operations Requirements Experience with operationalising AI-powered workflows, applications and agents Knowledge of Microsoft Entra, Salesforce, Mindflow and Claude Experience coordinating AI application, agent and integration deployments across environments Experience with AWS, Azure and related cloud environments Knowledge of environment-specific configuration, secrets, credentials and dependency mapping Experience with infrastructure-as-code, automated configuration, deployment controls and rollback mechanisms Knowledge of identity and access management, permissions and access controls Experience managing AI agents and automation lifecycles, including configuration, updates, version control and decommissioning Experience governing integrations between AI tools and enterprise platforms, APIs and internal systems Experience with incident management, troubleshooting and cross-layer issue resolution Knowledge of monitoring, usage oversight and operational health tracking Knowledge of security, data protection, access control and responsible AI governance Experience developing operational playbooks, runbooks, recovery procedures and documentation Ability to collaborate with Technology, Security, Product and Business teams Ability to manage relationships with AI platform providers and coordinate escalations Core Competencies

Demonstrates expertise in managing AI-powered workflows and applications, ensuring operational readiness across cloud environments like AWS and Azure. Proficient in incident management, security compliance, and developing operational documentation.

Highest-signal resume keywords AI Workflow Operationalization AWS Cloud Management Infrastructure-as-Code Microsoft Entra Knowledge Incident Management Hard Skills AI Application Deployment Environment Configuration Automated Configuration Access Control Management AI Agent Lifecycle Management Integration Governance Operational Health Tracking Version Control Troubleshooting Security Compliance Soft Skills Collaboration Relationship Management Industry Keywords AI Governance Data Protection Operational Playbooks Runbooks Deployment Controls Tools & Technologies Microsoft Entra Salesforce Mindflow AWS Azure Claude