Systems Engineer

• Lead the design, implementation, and continuous improvement of Microsoft Azure cloud technologies (IaaS, PaaS, SaaS)
• Develop Azure policies, ARM templates, Blueprints, and governance strategies
• Build and maintain secure, scalable, and cost-optimized infrastructure solutions
• Drive infrastructure automation and self-service provisioning through Infrastructure-as-Code (IaC), scripting, and DevOps pipelines
• Monitor system performance, troubleshoot incidents, and ensure high availability and disaster recovery readiness
• Collaborate in cross-functional teams (e.g., with Finance, Data Science, Software Engineering and Security) to design, deploy, and maintain secure and scalable AI/ML pipelines
• Support retrieval-augmented generation (RAG) pipelines by implementing and maintaining secure endpoints, network isolation, and proper access controls
• Manage API security, authentication, and token usage for AI and LLM-based services, ensuring visibility into utilization and cost tracking
• Deploy and monitor machine learning models and APIs using Azure ML, Azure OpenAI, and containerized inference solutions
• Support AI DevOps/MLOps automation using Bicep, Terraform, or MLflow to streamline model deployment, configuration, and lifecycle management
• Implement monitoring and observability using Azure Monitor, Application Insights, and related tools to track AI API performance, latency, and errors
• Assist in operationalizing AI workloads in Azure ML, OpenAI, or custom inference endpoints while ensuring security and compliance alignment
• Contribute to AI governance by helping define secure model lifecycle processes, role-based access controls, and compliance checkpoints across environments
• Implement and manage AI-specific security controls, such as prompt injection mitigation, data masking in training datasets, and LLM access policies
• Collaborate with security team to evaluate and secure AI model endpoints, ensuring compliance with HIPAA and SOC 2 for AI workloads
• Support the development and enforcement of cloud security policies and incident response plans
• Collaborate with the security team to investigate cyber threats and deploy AI-driven threat detection and response tools
• Ensure compliance with industry standards (e.g., HIPAA, SOC 2, HITRUST) in all cloud and AI implementations

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