Artificial Intelligence Engineer

Job Title: Artificial Intelligence Engineer

Experience: 3 to 8 Years

Location: Hyderabad

Worksite: Onsite (100%)

About WCT: WaferWire Technology Solutions (WCT) specializes in delivering comprehensive Cloud, Data and AI solutions through Microsoft's technology stack.

Our services include Strategic Consulting, Data/AI Estate Modernization, and Cloud Adoption Strategy. We excel in Solution Design encompassing Application, Data, and AI Modernization, as well as Infrastructure Planning and Migrations. Our Operational Readiness services ensure seamless DevOps, ML Ops, AI Ops, and Sec Ops implementation. We focus on Implementation and Deployment of modern applications, continuous Performance Optimization, and future-ready innovations in AI, ML, and security enhancements. Delivering from Redmond-WA, USA, Guadalajara, Mexico and Hyderabad, India, our scalable solutions cater precisely to diverse business requirements and multiple time zones (US time zone alignment).

Job Overview

WaferWire Cloud Technologies (WCT) is hiring a Senior Software Engineer Agentic AI & Automation to support largescale Microsoft Dynamics 365 CRM migration programs.

This role is highly handson and focuses on building AI agents and automation frameworks using Microsoft Copilot Studio, Power Platform, Azure, Python, and PowerShell to reduce manual effort, improve reliability, and scale migration operations.

You will work closely with architects, program managers, and operations teams to design and operationalize agentdriven automation for enterprise cloud migrations.

Key Responsibilities

• Design and build AI agents using Microsoft Copilot Studio to orchestrate CRM migration workflows, health checks, and remediation steps
• Automate customer and internal email responses using Copilot Studio, Outlook/shared mailboxes, and Power Automate
• Develop and maintain Python and PowerShell automation executed on Azure VMs for longrunning or privileged migration tasks
• Build agentdriven automation for:
• Premigration checks
• Failure analysis and retry logic
• Telemetry and log analysis
• Incident and alert creation
• Integrate automation with Azure services such as Azure Functions, App Service, Storage, Azure Monitor, Log Analytics, and Kusto
• Collaborate with crossfunctional teams to identify manual processes and convert them into scalable, reliable automation
• Ensure solutions meet security, compliance, audit, and enterprise production standards

Required Qualifications

• 4+ years of handson software engineering experience with ownership of production systems
• Strong experience in Python and PowerShell for automation and orchestration
• Handson experience building automation systems, bots, agents, or workflow engines
• Experience with Microsoft Copilot Studio, Power Automate, Power Virtual Agents, or AI Builder
• Experience running workloads on Azure VMs, including logging, credential management, and failure recovery
• Solid understanding of REST APIs, authentication (OAuth, Managed Identity), and system integration
• Strong problemsolving skills and ability to work in fastpaced, ambiguous environments

Preferred / Nice to Have

• Experience automating email workflows using Outlook APIs, shared mailboxes, or Power Automate
• Familiarity with Dynamics 365, Dataverse, or enterprise SaaS platforms
• Knowledge of agentic AI patterns (multistep agents, tool calling, humanintheloop workflows)
• Experience with Azure OpenAI, Azure Monitor, Log Analytics (Kusto)
• Background in enterprise migrations, operations automation, or largescale batch processing
• Strong documentation and runbookwriting skills

Why Join WCT

• Work on Microsoftled Dynamics 365 migration programs
• Handson exposure to Agentic AI, Copilot Studio, and Power Platform
• Opportunity to build realworld, productiongrade AI automation
• Collaborative environment with direct impact on customer success

Equal Employment Opportunity Declaration: WCT is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.