Senior AI Developer – Microsoft Copilot Studio, Azure AI

Jobtailor; Deutschland; Remote; EUR 120.000 - 160.000; Vollzeit

Zusammenfassung

Jobtailor is seeking an experienced AI engineer to design, build, and deploy Copilot Studio agents integrated with Azure AI Foundry and Microsoft 365. You will work on retrieval-augmented generation patterns, model selection, prompt engineering, and robust evaluation in enterprise contexts.

The role requires 7+ years with Microsoft technologies, strong Python skills, and expertise across Dataverse, Power Apps, and CI/CD.

Qualifikationen

• Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent experience.
• 7+ years of experience with Microsoft technologies, including hands-on application development.
• Demonstrated experience building and deploying Copilot Studio agents in an enterprise environment.
• Strong experience developing solutions using Azure AI Foundry, Azure OpenAI, and the Microsoft Power Platform (Power Apps, Power Automate, Dataverse).
• Proficiency in Python for developing, integrating, and automating AI solutions and services.
• Demonstrated experience with source control and modern deployment practices including Git, branching strategies, and CI/CD pipelines.
• Working knowledge of prompt engineering, RAG patterns, grounding, and evaluation of generative AI output.
• Experience integrating solutions with Microsoft 365, Azure services, and external APIs.
• Strong communication skills.
• Experience with Azure AI Foundry model catalog, Azure Fabric (including Databricks), or enterprise GenAI platforms.
• Experience with Power Platform extensibility — custom connectors, Azure Functions, REST APIs.
• Background supporting large-scale citizen developer or maker programs.
• Microsoft certifications (Azure AI Engineer Associate, Power Platform Developer Associate, or related).
• Familiarity with responsible AI frameworks, AI governance standards, or AI security practices.
• AEC (Architecture, Engineering, and Construction) industry exposure.

Aufgaben

• Design, build, and maintain Copilot Studio agents, including topics, actions, tools, orchestration, connectors, and knowledge grounding, integrated with enterprise data sources, Microsoft 365, and line-of-business systems.
• Implement retrieval-augmented generation (RAG) patterns against enterprise content in SharePoint, Dataverse, and other MBI systems.
• Develop and deploy generative AI solutions on Azure AI Foundry and Azure OpenAI, including model selection, prompt engineering, and systematic output evaluation.
• Build and consume Azure AI and Azure OpenAI APIs in Python to extend Copilot Studio agents and custom applications.
• Develop supporting Power Apps and Power Automate flows for AI-enabled use cases.
• Implement responsible AI practices, including input validation, prompt injection defense, and security guardrails.
• Partner with Data & AI teams to align solutions with the broader GenAI and Azure AI strategy.
• Support proof-of-concepts, pilots, MVPs, and production deployments; document architectural patterns and manage solution assets in source control.
• Provide technical guidance, training, and enablement to makers, developers, and business stakeholders.
• Promote source control discipline, automated build and release pipelines, and solution performance and maintainability standards.
• Track usage and impact of deployed agents and AI solutions and drive continuous improvement.

Kenntnisse

Generative AI Solutions

Python Programming

Power Platform Extensibility

Azure OpenAI

Azure AI Foundry

Source Control

CI/CD Pipelines

Prompt Engineering

RAG Patterns

Microsoft 365 Integration

Dataverse

REST APIs

Git

Azure Functions

Ausbildung

Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent experience

Tools

Git

Azure Fabric

Databricks

REST APIs

Azure Functions

Power Apps

Power Automate

Dataverse

Jobbeschreibung

Design, build, and maintain Copilot Studio agents, including topics, actions, tools, orchestration, connectors, and knowledge grounding, integrated with enterprise data sources, Microsoft 365, and line-of-business systems
Implement retrieval-augmented generation (RAG) patterns against enterprise content in SharePoint, Dataverse, and other MBI systems
Develop and deploy generative AI solutions on Azure AI Foundry and Azure OpenAI, including model selection, prompt engineering, and systematic output evaluation
Build and consume Azure AI and Azure OpenAI APIs in Python to extend Copilot Studio agents and custom applications
Develop supporting Power Apps and Power Automate flows for AI-enabled use cases
Implement responsible AI practices, including input validation, prompt injection defense, and security guardrails
Partner with Data & AI teams to align solutions with the broader GenAI and Azure AI strategy
Support proof-of-concepts, pilots, MVPs, and production deployments; document architectural patterns and manage solution assets in source control
Provide technical guidance, training, and enablement to makers, developers, and business stakeholders
Promote source control discipline, automated build and release pipelines, and solution performance and maintainability standards
Track usage and impact of deployed agents and AI solutions and drive continuous improvement

Requirements

• Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent experience
• 7+ years of experience with Microsoft technologies, including hands-on application development
• Demonstrated experience building and deploying Copilot Studio agents in an enterprise environment
• Strong experience developing solutions using Azure AI Foundry, Azure OpenAI, and the Microsoft Power Platform (Power Apps, Power Automate, Dataverse)
• Proficiency in Python for developing, integrating, and automating AI solutions and services
• Demonstrated experience with source control and modern deployment practices including Git, branching strategies, and CI/CD pipelines
• Working knowledge of prompt engineering, RAG patterns, grounding, and evaluation of generative AI output
• Experience integrating solutions with Microsoft 365, Azure services, and external APIs
• Strong communication skills with the ability to translate technical concepts for non-technical stakeholders
• Experience with Azure AI Foundry model catalog, Azure Fabric (including Databricks), or enterprise GenAI platforms
• Experience with Power Platform extensibility — custom connectors, Azure Functions, REST APIs
• Background supporting large-scale citizen developer or maker programs
• Microsoft certifications (Azure AI Engineer Associate, Power Platform Developer Associate, or related)
• Familiarity with responsible AI frameworks, AI governance standards, or AI security practices
• AEC (Architecture, Engineering, and Construction) industry exposure

Core Competencies

Demonstrates expertise in developing and deploying generative AI solutions using Azure AI Foundry and Azure OpenAI, with a strong focus on integrating Microsoft technologies and implementing responsible AI practices. Proficient in Python for automation and integration, with a solid understanding of source control and deployment methodologies.

Highest-signal resume keywords

• Generative AI Solutions Development
• Azure AI Foundry
• Python Programming
• Power Platform Extensibility
• Responsible AI Practices

Hard Skills

• Copilot Studio Agents Development
• Prompt Engineering
• RAG Patterns
• Source Control
• CI/CD Pipelines
• Azure OpenAI
• Microsoft 365 Integration
• Dataverse
• Power Apps
• Power Automate

Soft Skills

• Strong Communication Skills

Certifications & Qualifications

• Azure AI Engineer Associate
• Power Platform Developer Associate

Industry Keywords

• AEC Industry Exposure
• AI Governance Standards
• AI Security Practices

Tools & Technologies

• Azure AI
• Azure Functions
• REST APIs
• Git
• Azure Fabric
• Databricks