Centrilogic

Manager

• End-to-end accountability for the client relationship, ensuring managed services exceed client expectations
• Build and maintain strong relationships with clients at both operational and managerial levels
• Ensure delivery of all service deliverables in accordance with contract terms
• Act as client advocate for all managed services delivery matters
• Manage a dynamic set of top accounts
• Measure and evaluate customer satisfaction (CSAT) and coordinate actions to achieve outcomes
• Monitor client retention risk and raise awareness internally
• Track SLA compliance and report on other service-related KPIs
• Support major incident management and contribute to post-incident reports

Senior Service Delivery Manager

AI Engineer

• Monitor and support AI agents, LLM workloads, vector/RAG pipelines, and microservices in production.
• Maintain managed service expectations and SLAs across availability, performance, response times, and issue resolution.
• Perform incident triage, troubleshooting, debugging, and root cause analysis (RCA).
• Support model and prompt lifecycle activities: drift detection, prompt updates, embedding refresh, evaluation, and version control.
• Apply Responsible AI practices including jailbreak protection, prompt injection defense, content filtering, and compliance guardrails.
• Analyze telemetry, logs, metrics, and safety signals to proactively identify and mitigate risks.
• Assist with onboarding new AI agents and use cases into Centrilogic’s Managed Services framework.
• Build small tooling, automations, scripts, and enhancements using Python to improve service reliability and speed.
• Implement bug fixes, minor feature improvements, monitoring utilities, and workflow optimizations.
• Integrate applications and services with Azure AI Foundry and Azure AI services.