Job Description
Designs, builds, and configures Copilot agents using Microsoft Copilot Studio. Focuses on implementing conversational logic, prompt flows, and integrating agents with data sources and automation workflows. Works closely with the AI Architect and Power Automate Engineer to ensure agents are scalable, secure, and aligned with business needs.
• Core Responsibilities:
o Configure agent dialogs, triggers, and actions in Copilot Studio
o Implement prompt engineering and context handling
o Integrate agents with backend systems via connectors and APIs
o Collaborate with Data Engineers to ensure data availability
o Conduct unit testing and refine agent responses
o Participate in sprint planning and demos
o Document agent configurations and contribute to runbooks
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
- 6+ years of experience in AI development
- Experience with Microsoft Copilot Studio, Power Platform (Power Automate, Power Apps), Azure AI Services, SharePoint, Microsoft Teams, Dataverse, REST APIs, JSON, Git, Azure DevOps
- RAG, LLMs
- Gen AI Architecture
- Azure AI Vector, MongoDB and Postgres databases
- TypeScript, ChatScript, and Python
- Familiarity with FAISS, Pinecone, Milvus, and retrieval optimization
- Understanding of OpenAI, Anthropic, Google Vertex AI, and AWS Bedrock
- API design and integration architecture for AI/ML systems
- DevOps - Containerization, Docker, Kubernetes, CICD, Github
Nice to Have Skills & Experience
- AI education or certifications
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.