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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solutions Engineer - GenAI, AI Agents & Enterprise Integratio - **Company:** Seneca Holdings - **Location:** New York, NY, United States (Remote available) - **Salary:** $124,800.0 - $135,200.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Business Logic, Application Performance Management, User Authentication, Microsoft Azure, Microsoft Online Services, Data Hub, Data Security, DevOps, OpenAI, Gemini Enterprise (Agent Platform), Software Engineering, Systems Integration, Enterprise Search, Enterprise Data Management, Enterprise Application Integration, Enterprise Software Applications, Chatbots, Microsoft Power Automate, Power Platform Integration, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Software Troubleshooting, Software Application Programming, Generative AI, Backend, Agentic-AI, Microsoft Copilot Studio, AI Platforms, Azure OpenAI API, Virtual Agents, Model Context Protocol, Powerapps - **Published:** October 2, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9209086/ai-solutions-engineer-genai-ai-agents-enterprise-integratio ## About the Role The ideal candidate has demonstrated experience taking enterprise AI solutions beyond proof-of-concept and into production. You will build intelligent agents, integrate them securely with enterprise applications and data, develop RAG-based knowledge solutions, and partner with architecture, product, security, and engineering teams to deliver scalable AI capabilities., * Hands-on experience designing, building, and deploying enterprise AI agents using Microsoft Copilot Studio. * Experience with Power Virtual Agents (PVA) and Microsoft's conversational AI ecosystem. * Hands-on experience developing Generative AI applications using Azure OpenAI Service and LLMs. * Strong knowledge of prompt engineering, agent orchestration, agent workflows, and enterprise AI application development. * Experience designing and implementing RAG pipelines using Azure AI Search and vector databases. * Experience developing secure enterprise integrations using Microsoft Graph API. * Experience with Microsoft Dataverse and integrating AI applications with enterprise data. * Experience developing or consuming custom APIs and API wrappers to connect AI agents with enterprise applications and backend systems. * Strong understanding of enterprise integration patterns, authentication, security, governance, and data-access controls. * Experience developing and supporting solutions within Microsoft Azure. * Experience with DevOps practices supporting software development, deployment, monitoring, and production operations. * Experience working in Agile development environments. * Strong troubleshooting, analytical, communication, and cross-functional collaboration skills. * Ability to work effectively with architects, Product Owners, security teams, engineers, and business stakeholders., * Experience developing complex cloud flows and enterprise-grade automation using Microsoft Power Automate. * Experience developing applications and business solutions using Microsoft Power Apps. * Experience integrating Power Platform solutions with Copilot Studio, Dataverse, custom APIs, and backend enterprise applications. * Experience with Microsoft Azure AI Foundry. * Experience with Model Context Protocol (MCP). * Experience with Gemini Enterprise or other enterprise AI platforms. * Knowledge of enterprise AI security, governance, monitoring, and responsible AI practices. * Experience supporting production enterprise AI agents and intelligent automation solutions. ## Description Our client is seeking an experienced AI Solutions Engineer to design, build, integrate, and deploy enterprise Generative AI (GenAI) agents and autonomous workplace assistants. This role is highly hands-on and focused on building production-ready AI solutions within the Microsoft ecosystem using Microsoft Copilot Studio, Power Virtual Agents (PVA), Azure OpenAI Service, Microsoft Graph API, Microsoft Dataverse, Azure AI Search, Retrieval-Augmented Generation (RAG), and vector databases., * Design, build, test, and deploy enterprise conversational AI agents and autonomous workplace assistants using Microsoft Copilot Studio and Power Virtual Agents (PVA). * Develop Generative AI applications using Azure OpenAI Service, Large Language Models (LLMs), and prompt engineering. * Design agent topics, actions, prompts, workflows, orchestration, and business logic for employee-facing AI solutions. * Build and optimize Retrieval-Augmented Generation (RAG) pipelines using Azure AI Search and vector databases. * Integrate structured and unstructured enterprise data sources into AI agent and RAG solutions. * Develop secure integrations with enterprise applications and tenant data using Microsoft Graph API, Microsoft Dataverse, custom APIs, and API wrappers. * Design context-aware knowledge retrieval solutions while maintaining enterprise security, authentication, governance, and access controls. * Optimize prompts, retrieval, indexing, search, and contextual grounding to improve AI response accuracy and reliability. * Develop AI-enabled workflows and intelligent automations connecting agents with enterprise business processes. * Integrate Copilot Studio with Microsoft Power Platform, including Power Automate and Power Apps where applicable. * Develop and support cloud-based AI applications using Microsoft Azure and Azure OpenAI services. * Participate in DevOps processes supporting application development, testing, deployment, monitoring, and production operations. * Troubleshoot production issues involving AI agents, integrations, APIs, security, data access, workflows, and application performance. * Partner with architects, Product Owners, security teams, and engineering stakeholders to translate business requirements into scalable AI solutions. * Maintain technical documentation covering AI agents, integrations, APIs, workflows, and solution architecture. * Participate in Agile ceremonies and iterative software delivery. ## Related Videos - [Develop AI-powered Applications with OpenAI Embeddings and Azure Search](https://www.wearedevelopers.com/videos/828-develop-ai-powered-applications-with-openai-embeddings-and-azure-search) - [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents) - [Mobile vs. Backend DevOps](https://www.wearedevelopers.com/videos/1662-mobile-vs-backend-devops) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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