Senior GenAI Engineer - Copilot Studio and Power Platform
Actively Hiring
Full-time Posted about 2 months ago
Role overview
Senior GenAI Engineer - Copilot Studio & Power Platform (d/m/f) designs, builds, and deploys AI-powered copilots and agents that integrate conversational AI with automated business processes. The role combines Copilot Studio, Power Automate, and Azure AI services to deliver scalable, secure, and business-impacting solutions across the enterprise:
Responsibilities
- check_circle Build Generative AI Solutions
- check_circle Develop AI copilots and agents using Microsoft Copilot Studio
- check_circle Design and implement generative AI solutions using large language models (LLMs), natural language processing (NLP), and computer vision
- check_circle Build end-to-end workflows with Power Automate to enable business actions (e.g., approvals, system updates, notifications)
- check_circle Integrate solutions with Azure OpenAI, enterprise systems (SAP, APIs, M365)
- check_circle Design and optimize prompting strategies and RAG-based knowledge solutions
- check_circle Collaborate with business stakeholders, AI architects, and developers
- check_circle Architect and advise on scalable, future-proof AI solutions tailored to business needs
- check_circle Training & Consultancy
- check_circle Create best practices, enablement materials, and usage guidelines for AI
- check_circle Consult & train other departments on Microsoft Copilot Studio
Basic qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Artificial Intelligence, or a related discipline
- Minimum 5 years of experience in software development, AI solution development, or related technical roles
- Proven experience delivering Generative AI or LLM-based solutions in enterprise environments
- Strong hands-on experience with Microsoft Copilot, Copilot Studio, and Azure OpenAI Services
- Proficiency in Python and/or JavaScript/TypeScript for AI application development and integration
- Experience with Retrieval-Augmented Generation (RAG), vector databases, and semantic search solutions
- Experience integrating solutions with Microsoft 365, Microsoft Teams, SharePoint Online, Power Platform, and other Microsoft ecosystem tools
- Familiarity with DevOps practices, automated testing, monitoring, and deployment pipelines
- Proficiency in English
Tags & Focus Areas
Fulltime Ai Ai Engineer Nlp Computer Vision Generative Ai