Principal Engineer, Agentic Journey Engineering Lead

Jobtailor

Chicago (IL)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Jobtailor in Chicago leads the development of autonomous AI agents within Microsoft Copilot Studio and D365 ecosystem. You will architect agent configurations, plugins, and safety features across enterprise data sources.

You will collaborate with product and platform teams to translate business needs into scalable workflows using Power Apps and Power Automate, while ensuring compliance and robust telemetry through Power BI.

Qualifications

  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
  • 12+ years of overall experience in application engineering and delivery.
  • 5+ years at Lead / Senior Engineer level on enterprise application platforms.
  • 2+ years hands-on building production GenAI / agentic solutions (chat, copilots, multi-agent orchestration, RAG).
  • Strong proficiency in Python, C#, or JavaScript.
  • Hands-on experience with Microsoft Copilot Studio, Power Apps, Power Automate, and Power Platform connectors.
  • Proficiency in Dataverse—data modeling, customization, and plugin development.
  • Experience building and configuring Dynamics 365 Copilot agents and extending agent capabilities within the D365 ecosystem.
  • Familiarity with Dynamics 365 CRM, EIS Suite, and other insurance core systems.
  • Experience integrating SaaS applications in a complex enterprise environment (identity management, data integration, workflow automation).
  • Working knowledge of Azure cloud services, Azure Integration Services, and API Management.
  • Experience with solution lifecycle management (managed/unmanaged solutions, ALM tooling) and CI/CD via Azure DevOps.
  • Familiarity with source control (Git) and DevOps best practices.

Responsibilities

  • Drive the development and deployment of autonomous AI agents on Microsoft Copilot Studio (M365).
  • Build, configure, and deploy agentic AI solutions using Microsoft Copilot Studio.
  • Design conversational and workflow agents that integrate with Microsoft 365 apps and enterprise data sources.
  • Develop custom Copilot plugins and extensions to enhance agent capabilities.
  • Implement agent safety and transparency features per established governance frameworks.
  • Partner with product owners and business stakeholders to translate business requirements into agent configurations and workflows.
  • Produce sequence diagrams, decision trees, and agent contracts aligned to approved architecture patterns for consistent engineering execution.
  • Develop and implement solutions using Power Apps for custom forms, dashboards, and mobile experiences.
  • Build and maintain Power Automate flows to orchestrate multi-step business processes.
  • Collaborate with CRM and platform teams to ensure seamless integration between D365 agents and broader enterprise agentic solutions.
  • Own the delivery lifecycle for agentic and AI‑powered solutions.
  • Monitor agent performance and optimize using feedback loops, telemetry, and Power BI dashboards.
  • Ensure delivered solutions meet compliance requirements.

Skills

Python
C#
JavaScript
GenAI / agentic development
Lead / Senior engineer
Azure
CI/CD
Git
Power Apps
Power Automate
Dataverse
Dynamics 365 Copilot
API integration
Azure DevOps

Education

Bachelor's or Master's in Computer Science, AI, Data Science, or related field

Tools

Copilot Studio
Power Apps
Power Automate
Power Platform connectors
Dataverse
Azure DevOps
Git

Job description

Responsibilities
  • Drive the development and deployment of autonomous AI agents on Microsoft Copilot Studio (M365)
  • Build, configure, and deploy agentic AI solutions using Microsoft Copilot Studio
  • Design conversational and workflow agents that integrate with Microsoft 365 apps and enterprise data sources
  • Develop custom Copilot plugins and extensions to enhance agent capabilities
  • Implement agent safety and transparency features per established governance frameworks
  • Partner with product owners and business stakeholders to translate business requirements into agent configurations and workflows
  • Produce sequence diagrams, decision trees, and agent contracts aligned to approved architecture patterns for consistent engineering execution
  • Develop and implement solutions using Power Apps for custom forms, dashboards, and mobile experiences
  • Build and maintain Power Automate flows to orchestrate multi-step business processes
  • Collaborate with CRM and platform teams to ensure seamless integration between D365 agents and broader enterprise agentic solutions
  • Own the delivery lifecycle for agentic and AI‑powered solutions
  • Monitor agent performance and optimize using feedback loops, telemetry, and Power BI dashboards
  • Ensure delivered solutions meet compliance requirements
Requirements
  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field
  • 12+ years overall experience in application engineering and delivery
  • Including 5+ years at Lead / Senior Engineer level on enterprise application platforms
  • 2+ years hands‑on building production GenAI / agentic solutions (chat, copilots, multi‑agent orchestration, RAG)
  • Strong proficiency in Python, C#, or JavaScript
  • Hands‑on experience with Microsoft Copilot Studio, Power Apps, Power Automate, and Power Platform connectors
  • Proficiency in Dataverse — data modeling, customization, and plugin development
  • Experience building and configuring Dynamics 365 Copilot agents and extending agent capabilities within the D365 ecosystem
  • Familiarity with Dynamics 365 CRM, EIS Suite, and other insurance core systems
  • Experience integrating SaaS applications in a complex enterprise environment (identity management, data integration, workflow automation)
  • Working knowledge of Azure cloud services, Azure Integration Services, and API Management
  • Experience with solution lifecycle management (managed/unmanaged solutions, ALM tooling) and CI/CD via Azure DevOps
  • Familiarity with source control (Git) and DevOps best practices
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