AI Agents Subject Matter Expert

Summary

Join SweetRush's Custom Learning Project team as a freelance AI Agents Subject Matter Expert! This fully remote position offers flexibility, working up to 30 hours per week from anywhere with US business hours availability. You will leverage your expertise in Microsoft AI tools to develop and deliver a certification program, creating training materials and empowering learners. This 6-month contract starts mid-to-late June 2025, with compensated onboarding. As a freelance role, proven success managing freelance engagements and multiple client relationships is essential. The hourly rate is negotiable.

Requirements

• Proven hands-on experience designing, building, testing, and deploying complex AI agents and multi-agent systems on Microsoft Azure
• Extensive practical experience implementing agent capabilities such as tool use (function calling), retrieval-augmented generation (RAG), memory management, and conversational flows using tools like Semantic Kernel, AutoGen, Azure AI Agent Service, and Azure OpenAI
• Demonstrated ability to integrate various Azure AI Services (e.g., Azure AI Search, Azure AI Vision, Azure AI Language, Azure AI Document Intelligence) as functional tools for AI agents to interact with external data and capabilities
• Experience designing and implementing agent orchestration and workflow automation using Azure Logic Apps, Power Automate, or Azure Functions in conjunction with AI agents
• Practical experience with deploying and managing AI agent solutions on Azure infrastructure, potentially including Azure Machine Learning endpoints, or integrating with services like Azure Bot Framework or Microsoft Copilot Studio
• Familiarity with monitoring, logging, and debugging AI agent performance and interactions using tools like Azure Monitor
• Understanding and practical application of MLOps principles for AI agents, including version control (GitHub/Azure DevOps) and potential CI/CD pipelines for agent updates or deployments
• Experience working with vector databases (like Azure Cosmos DB for MongoDB vCore with vector search or integrating with Azure AI Search vector capabilities) for implementing RAG in agent systems
• Experience in reviewing training materials for technical accuracy and clarity
• Essential experience in training, learning, and development, or teaching
• Proven ability to create and deliver effective screencasts and video tutorials
• Strong ability to articulate complex technical concepts in an accessible manner
• Availability to work during the US time zones' business hours
• Bachelor's or Master's degree in Computer Science, AI, Software Engineering, or a related technical field
• 5+ years of hands-on experience designing, building, and deploying complex AI agents and multi-agent systems on Microsoft Azure, including proficiency in RAG, tool use, and memory management with tools like Azure AI Agent Service, Azure OpenAI, Semantic Kernel, and AutoGen
• Microsoft Certified: Azure AI Engineer Associate (AI-102) and ideally Microsoft Certified: Azure Developer Associate (AZ-204)
• Demonstrable expertise with key Azure services for AI agents, such as Azure AI Foundry, Microsoft Copilot Studio, Azure Machine Learning, Logic Apps, Power Automate, Azure Functions, Azure AI Services (Search, Language, Vision, Document Intelligence), and Azure Monitor
• Practical understanding and application of MLOps principles for AI agents, including version control (Azure DevOps/GitHub), CI/CD pipelines, and experience with vector databases for RAG
• 2+ years of experience in technical training, learning & development, or teaching, with a proven ability to create, review, and deliver high-quality, technically accurate training materials (e.g., course outlines, hands-on exercises, video tutorials)
• Exceptional technical communication skills, including the ability to articulate complex concepts clearly to diverse audiences and a strong understanding of adult learning principles
• Understanding of responsible AI, bias mitigation, and security best practices in AI pipelines
• Strong problem-solving, debugging, and communication skills

Responsibilities

• Collaborate with a team of learning experience designers to help create and validate training materials
• Review a skills task or job task analysis for accuracy and completeness, providing feedback on essential vs. nice-to-know tasks and suggesting improvements
• Review a high-level program outline and provide feedback on the order and complexity of topics for the intended audience
• Review a detailed program outline, ensuring alignment with the high-level program outline, and helping to confirm that content is presented in the correct order and format
• Validate AI-generated content to ensure it conforms to learning objectives and is technically accurate
• Support creation of content-specific graphics such as tables, flow charts, screen captures, etc
• Create any assets required to make demonstrations that showcase specific procedures and skills
• Create recordings of software demonstrations and related audio scripts
• Coordinate with learning experience designers to build out the assets, steps, and technical elements needed for hands-on projects such as exercises, labs, and projects
• Be available during US business hours, M-F, for content reviews, questions, and occasional meetings
• Work on Sweetrush systems for all work, including email, messaging platform, and cloud-based file storage systems
• Log time weekly and invoice time monthly

Preferred Qualifications

A strong understanding of adult learning principles is a plus

Benefits

• Onboarding will be compensated at $275.00 USD, not to exceed 10 hours
• This is a fully remote position with the flexibility to work from anywhere, as long as you are available during US business hours