AIOps Manager - Afternoon Shift

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Pearls will not ask you for money, or for sensitive information such as bank account numbers or social security numbers in our interviewing and hiring process.

Location: Karachi, Lahore, Islamabad

Company Overview 10

Pearls is a global, purpose-driven AI-Native digital engineering partner helping businesses re-imagine, digitalize, and accelerate. As an end-to-end digital technology partner, 10

Pearls helps businesses create future-proof, transformative digital products that leverage emerging technologies. 10

Pearls' clients include Global 2000 enterprises, high growth mid-size businesses, and some of the most exciting start-ups from industries like healthcare, fintech, energy, education, real estate, retail, and hi-tech. Headquartered in the Washington DC metro area, 10

Pearls has product engineering and software development centers in North America, Latin America, Europe, and South Asia. To learn more, visit

Role 10

Pearls is seeking an AIOps Manager to establish and lead the AIOps function in a greenfield environment. The role will be responsible for creating the operational framework for production AI systems, establishing observability and KPI standards, developing dashboards and alerting mechanisms, implementing AI Fin Ops controls, and defining operational processes for incidents, rollbacks, and model changes. The ideal candidate will bring strong experience in AI operations, Azure monitoring, GenAI observability, AI Fin Ops, and model lifecycle management, along with the ability to establish operating models, engage business stakeholders, and provide executive-level reporting on AI usage, value, quality, and spend.

• Establish the AIOps function and operating model from the ground up.
• Inventory and document production AI systems, models, services, and operational dependencies.
• Define and implement a GenAI observability framework covering latency, quality, hallucination, model drift, usage, and cost.
• Work with business and technical stakeholders to define KPIs, thresholds, SLAs, and alerting criteria.
• Design and implement Power BI dashboards providing visibility into AI system health, usage, value, quality, and spend.
• Leverage Azure Monitor, Application Insights, and Log Analytics/KQL for monitoring, troubleshooting, and operational insights.
• Establish AI Fin Ops practices, including token and spend attribution, budgeting, cost monitoring, optimization, and showback models.
• Utilize APIM AI Gateway and Azure AI Foundry capabilities to support AI usage and cost attribution.
• Develop and maintain incident management, rollback, and model-swap runbooks for production AI systems.
• Establish processes for Azure OpenAI model lifecycle management, including operational readiness and controlled model changes.
• Define and implement ITIL-aligned service management practices for AI workloads.
• Monitor AI usage, business value, operational performance, quality, and spend and provide regular reporting to leadership.
• Prepare monthly executive reports covering AI usage, value realization, operational performance, and spend.
• Partner with business owners to ensure KPIs and thresholds remain aligned with business objectives.
• Identify operational risks, cost optimization opportunities, and areas for improvement across the AI ecosystem.
• Establish strong documentation, knowledge transfer, and handover practices for AIOps processes, dashboards, and runbooks.
• Continuously improve the AIOps operating model as the organization's AI footprint evolves.

• 8–10+ years of overall experience in technology, cloud operations, AI/ML engineering, Dev Ops, MLOps, AIOps, or related disciplines.
• 3–5+ years of hands-on experience in AIOps,…