AI & Automation Developer - Remote - Sarnova

Summary We're building the future of intelligent systems—and we're looking for an AI and Automation Engineer to help lead the charge. In this role, you'll design, build, and deploy scalable automation solutions that drive efficiency, reduce manual work, and accelerate innovation across the organization. You'll work closely with teammates in Information Technology as well as business stakeholders to identify automation opportunities and turn them into reliable, AI-driven workflows. From robotic process automation (RPA) to workflow orchestration and generative AI, your work will have a measurable impact in helping to shape Sarnova's future. Essential Duties And Responsibilities • Design, develop, deploy, and support AI agents using Azure AI Foundry and Microsoft Copilot Studio. • Build conversational, autonomous, and multi-agent solutions using the Foundry SDK, Agent Framework, Responses API, Copilot Studio, and related Microsoft AI technologies. • Design prompt-based and hosted agents, selecting and optimizing models based on business requirements, performance, quality, and cost. • Integrate AI solutions with enterprise data and business systems through APIs, MCP, Power Platform, Dataverse, Dynamics 365, Azure Functions, custom services, and external platforms. • Implement Retrieval-Augmented Generation (RAG) and knowledge-grounding solutions using Azure AI Search, Foundry IQ, and enterprise knowledge sources. • Design and orchestrate multi-agent workflows, Agent-to-Agent (A2A) coordination, routing, and human-in-the-loop processes. • Develop scalable, reusable, secure, and enterprise-ready AI automation solutions. • Monitor, troubleshoot, evaluate, and continuously improve AI solution quality, reliability, safety, and performance. • Create technical documentation, testing assets, operational playbooks, and implementation standards. • Collaborate with business and technical stakeholders to identify, prioritize, and deliver AI-driven solutions that provide measurable business value. • Stay current with emerging AI technologies and advancements across Azure AI Foundry, Copilot Studio, Power Platform, and the Microsoft AI ecosystem. Skills/Experience Required • 2+ years of experience in AI development, automation engineering, software development, or a related field. • Hands-on experience designing, developing, deploying, and supporting AI agents using Azure AI Foundry and Microsoft Copilot Studio. • Experience with agent development and orchestration, including prompt-based and hosted agents, Foundry SDK, Agent Framework, Responses API, multi-agent workflows, and agent integrations. • Experience implementing Retrieval-Augmented Generation (RAG) and knowledge-grounding solutions using Azure AI Search, vector search, embeddings, and citation-based responses. • Experience building conversational and autonomous agents in Copilot Studio, including generative answers, knowledge grounding, and workflow automation. • Experience integrating AI solutions with Power Platform, Dataverse, Dynamics 365, APIs, Azure Functions, microservices, and enterprise applications. • Proficiency in Python (preferred), C#, and/or JavaScript/TypeScript, along with modern development tools such as VS Code, Git, Azure DevOps, and Azure CLI. • Knowledge of Model Context Protocol (MCP), custom function tools, external integrations, and API-driven architectures. • Strong understanding of leading LLMs, prompt engineering, context management, conversational memory, model evaluation, and AI solution optimization. • Experience with Azure services including Azure Functions, Azure AI Search, Storage, Key Vault, Microsoft Entra ID, and microservice-based solutions. • Working knowledge of SQL Server, data integration concepts, SharePoint, and Dynamics 365 Finance & Operations and CRM applications. • Familiarity with observability, monitoring, application logging, security, Responsible AI practices, governance, and CI/CD deployment processes. • Experience delivering automation solutions using Power Automate, UiPath, or similar workflow and automation platforms. • Strong analytical, communication, and stakeholder collaboration skills with the ability to translate business requirements into scalable technical solutions Preferred Qualifications • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Technology, or a related field; equivalent practical experience will also be considered. • Microsoft certifications related to Azure AI, AI Engineering, Power Platform, Copilot Studio, or Agent Development (e.g., Azure AI Engineer Associate or successor certifications). • Experience in healthcare, regulated, distribution, manufacturing, or other compliance-focused industries with an understanding of security, privacy, and governance requirements. Experience with one or more of the following advanced Microsoft AI capabilities is highly desirable: • Deploying and managing hosted agents in Azu