AI Automation Engineer

Corsica Technologies, LLC•Fort Wayne, IN

2d•Hybrid

About The Position

Corsica Technologies is seeking an experienced AI Automation Engineer to join its AI Innovation & Automation team. This role is responsible for designing, building, supporting, and continuously improving enterprise automation, AI agent, and data integration solutions that drive operational efficiency, service delivery excellence, and scalable business outcomes. The AI Automation Engineer will work across Microsoft Power Platform, Copilot Studio, Dataverse, Microsoft Fabric, Power BI, Azure services, and enterprise business systems to deliver intelligent automation and AI-enabled solutions. This role combines application development, workflow automation, data integration, AI agent engineering, and platform administration to help operationalize AI across the organization. As a member of the AI Innovation & Automation team, the engineer will collaborate closely with business stakeholders, operational leaders, platform administrators, and solution architects to transform manual processes into scalable, governed, and measurable automation capabilities.

Requirements

Bachelor's degree in Information Technology, Computer Science, Engineering, or equivalent professional experience.
3+ years of experience designing and implementing automation or application solutions.
Experience with Microsoft Copilot Studio or conversational AI technologies.
Experience with Microsoft Power Platform technologies.
Experience with Microsoft Fabric, Power BI, or enterprise analytics platforms.
Experience integrating business applications through APIs, connectors, or automation platforms.
Experience gathering requirements and translating business needs into technical solutions.
Microsoft Power Platform (Power Apps, Power Automate, Dataverse)
Microsoft Copilot Studio
Microsoft Fabric / Power BI
API integrations and REST-based services
Data modeling and relational database design
Automation workflow development
Azure services and Microsoft cloud technologies
Application lifecycle management (ALM)
Identity, security, and governance concepts
Strong analytical and problem-solving skills
Systems thinking and solution architecture mindset
Effective written and verbal communication
Ability to prioritize multiple initiatives simultaneously
Curiosity and continuous learning mindset
Strong documentation and organizational skills
Customer-focused approach to solution development
Ability to work independently while collaborating across teams

Nice To Haves

Experience with Dynamics 365, Dataverse, or other Microsoft business applications.
Experience supporting enterprise automation, workflow, or AI initiatives.
Microsoft Power Platform, Azure, Data, or AI-related certifications.

Responsibilities

Design, develop, and support automation solutions using Microsoft Power Automate, Power Apps, Copilot Studio, and related Microsoft technologies.
Build scalable automation workflows that integrate with internal and external business systems.
Develop reusable automation patterns, templates, and accelerators that improve delivery speed and consistency.
Identify opportunities to reduce manual effort through process automation and AI-enabled workflows.
Design, configure, test, and deploy AI agents and copilots using Microsoft Copilot Studio.
Develop agent actions, orchestration patterns, prompting strategies, and grounding approaches.
Support AI agent lifecycle management across development, testing, and production environments.
Monitor agent performance, adoption, and effectiveness while continuously improving user experience.
Design and implement integrations between Dataverse, Microsoft Fabric, Power BI, SharePoint, Dynamics 365, Autotask, and other enterprise platforms.
Develop data pipelines, APIs, connectors, and automation services that support enterprise AI and reporting initiatives.
Contribute to the design and maintenance of governed data models supporting automation and AI workloads.
Support operational reporting, analytics, and intelligence solutions using Microsoft Fabric and Power BI.
Support administration of Power Platform environments, Copilot Studio environments, Dataverse solutions, and associated platform services.
Participate in environment management, application lifecycle management (ALM), deployment processes, and governance initiatives.
Assist with security, permissions, monitoring, auditing, and platform optimization activities.
Maintain solution documentation, architecture diagrams, technical standards, and operational runbooks.
Partner with business stakeholders to understand requirements and translate them into technical solutions.
Participate in project discovery, solution design, testing, and production deployment activities.
Contribute to internal standards, best practices, and engineering methodologies.
Stay current on emerging Microsoft AI, automation, and data platform technologies.

Benefits

This role offers a unique opportunity to work at the intersection of automation, artificial intelligence, data engineering, and enterprise technology within a rapidly evolving organization focused on innovation and operational excellence.
As part of the AI Innovation & Automation team, you will have direct exposure to modern automation platforms, AI agent technologies, data engineering solutions, and enterprise application ecosystems that are transforming how organizations operate and deliver value to their clients.
In addition to developing automation solutions and AI-powered capabilities, you will collaborate with business and technical stakeholders to solve complex operational challenges, modernize business processes, and implement scalable technology solutions that create measurable business impact.
Build enterprise-grade automation, integration, and AI solutions using Microsoft Power Platform, Copilot Studio, Dataverse, Microsoft Fabric, Power BI, Azure, and related Microsoft technologies.
Design, develop, and support intelligent agents and automation capabilities that improve operational efficiency, service delivery, and business performance.
Work on high-visibility initiatives involving artificial intelligence, enterprise automation, operational intelligence, and digital transformation.
Collaborate closely with business leaders, operational teams, engineers, and solution architects to deliver meaningful business outcomes.
Influence the design, governance, and evolution of the organization's AI, automation, and data platform strategy.
Expand both technical and business expertise through exposure to multiple business systems, enterprise platforms, data sources, and operational workflows.
Develop specialized skills in emerging technologies that are shaping the future of enterprise automation, AI agents, and intelligent business operations.