AI Operations Engineer

Jobtailor

Cape Town

On-site

ZAR 1,200,000 - 2,000,000

Full time

2 days ago

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Job summary

Jobtailor in Cape Town seeks a senior AI Operations Lead to oversee the end-to-end delivery of AI-powered workflows, applications and agents across environments. You will coordinate deployments, enforce security, and drive reliability in AWS and Azure while aligning with governance and data protection policies.

The role requires hands-on experience with IaC, IAM, vendor management, and cross-functional collaboration with Technology, Security, Product and Business teams to keep complex AI

Qualifications

Experience operationalising AI workflows and agents.
Knowledge of cloud platforms and entitlements.
Familiar with IaC and deployment controls.
Experience with IAM and access management.
Experience managing AI agent lifecycles.
Ability to coordinate cross-environment deployments.
Strong incident management and troubleshooting skills.
Knowledge of security, data protection, and governance.

Responsibilities

Lead operational management of AI-powered workflows, applications and agents.
Coordinate deployment across development, test and production environments.
Ensure cloud environments (AWS, Azure) are secure and operational.
Manage environment configuration, secrets, credentials and dependencies.
Improve repeatability via infrastructure-as-code and deployment controls.
Oversee credentials, permissions and access controls.
Manage AI agent lifecycles, updates and decommissioning.
Govern integrations between AI tools and enterprise platforms.
Own incident management and troubleshoot operational issues.
Track usage, health metrics and compliance with policies.
Develop and maintain runbooks and recovery procedures.
Collaborate with Technology, Security, Product and Business teams.
Manage AI platform vendors and coordinate escalations.
Drive reliability, usability and security improvements.

Skills

AI Operations

Microsoft Entra

Salesforce

Mindflow

Claude

Deployment Coordination

Cloud (AWS/Azure)

Infrastructure as Code

IAM & Access

Agent Lifecycle

APIs & Integrations

Incident Management

Monitoring & Health

Security & Data Governance

Playbooks & Runbooks

Cross-functional Collaboration

Vendor Relationships

Tools

Microsoft Entra

Salesforce

Mindflow

AWS

Azure

Claude

Job description

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, SaaS 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.

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