Senior AI Automation Engineer

Role : Sr AI Automation Engineer

Location : Remote ( USA)

Type: Contract

Key Skills : Python, PowerShell, AI Agents, Agentic AI Automation, Microsoft Copilot Studio, Power Automate, Power Virtual Agents, AI Builder, Azure VMs, REST APIs

JD :

• Design and build Agentic AI solutions using Microsoft Copilot Studio, including multistep agents that orchestrate migration workflows, status checks, and remediation actions, under Microsoftdefined architectures.
• Implement automation for customer and internal email responses by integrating Copilot Studio agents with Outlook, shared mailboxes, Power Automate, and backend systems to generate contextual, humanreviewed responses.
• Develop and maintain Python and PowerShellbased automation executed on Azure VMs to support migration and operational tasks, including longrunning or privileged activities not suited for serverless execution.
• Build agentdriven automation for migration scenarios such as prechecks, failure triage, retry logic, telemetry analysis, and incident creation.
• Integrate automation with Azure services (e.g., Azure Functions, App Service, Azure Storage, Azure Monitor, Log Analytics, Kusto) to enable endtoend automation and observability.
• Collaborate with Microsoft Program Managers, Architects, and Operations teams to identify defined manual processes and deliver scoped, reliable automation solutions.
• Document delivered solutions and support production readiness, including logging, security considerations, and operational handoff to Microsoft teams.

Required / Minimum Qualifications

• 4+ years of handson software engineering experience delivering production automation or tooling.
• Strong proficiency in Python and PowerShell for automation, orchestration, and systemlevel tasks.
• Handson experience building automation or agentbased systems, such as AI agents, bots, workflow engines, or orchestration services.
• Handson experience with Microsoft Copilot Studio, Power Virtual Agents, AI Builder, or Power Automate.
• Experience deploying and running workloads on Azure VMs, including handling credentials, certificates, logging, and failure recovery.
• Solid understanding of REST APIs, authentication (OAuth, managed identity), and servicetoservice integration.
• Strong problemsolving and debugging skills in distributed or operational systems.
• Ability to work effectively within defined scopes and priorities in fastmoving environments.