> Markdown version of [/jobs/ext/2861030-lead-ai-architect-microsoft-copilot-studio](https://www.wearedevelopers.com/jobs/ext/2861030-lead-ai-architect-microsoft-copilot-studio). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead AI Architect Microsoft Copilot Studio - **Company:** Accord Technologies Inc - **Location:** Piscataway, NJ, United States - **Experience:** Expert - **Salary:** $107,900.0 - $195,050.0 - **Contract:** Temporary to permanent - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Microsoft Azure, Continuous Integration, Data Governance, Data Hub, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, Metadata, NoSQL, Rapid Prototyping Process, Data Streaming, UML, Enterprise Data Management, Enterprise Application Integration, Scripting, Cloud Platform System, Microsoft Power Automate, Delivery Pipeline, Large Language Models, Prompt Engineering, IT Architecture, Archimate, Generative AI, Git, Event Driven Architecture, Data Lakes, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Low-code, Graphql, Virtual Agents, Data Pipelines, Api Management, Serverless Computing, Powerapps, Docker, Microservices - **Published:** September 12, 2026 - **Apply:** https://www.careerjet.com/jobad/us06ce5325de2b1dfb0f8d6c57dd50ae8c ## About the Role The candidate must demonstrate strong ability to translate business and technical requirements into scalable, secure, resilient, and cost-effective enterprise solutions and communicate architecture decisions effectively to both technical and business stakeholders. Experience with enterprise data and information architecture, including data modeling, relational and NoSQL databases, data lakes/warehouses, ETL/ELT pipelines, data governance, metadata, and AI knowledge architectures is preferred. Experience with enterprise Power Platform governance, ALM, solution management, deployment pipelines, AI-agent architecture, Azure AI/Azure OpenAI, and enterprise API integrations will be highly valued. Prior experience supporting Finance, Controllers/Financial Control, or related business processes is preferred but not required. ## Description The ideal candidate must have hands-on experience architecting and delivering AI, Generative AI, and machine-learning solutions, with strong expertise in Microsoft Copilot Studio and Microsoft Power Platform/low-code platforms, including Power Apps, Power Automate, and Dataverse. The candidate should be capable of rapidly developing POCs and working prototypes and have Lead Architect-level experience across modern application, integration, cloud, and AI architecture patterns. Strong knowledge of LLMs, RAG, agentic AI, prompt engineering, model APIs, embeddings, vector stores, and AI integrations is required. Experience with at least one major cloud platform, preferably Microsoft Azure, along with Docker, Kubernetes, serverless services, REST/GraphQL APIs, microservices, event-driven architecture, messaging/streaming, and enterprise integration patterns is highly desirable. Proficiency in Python and/or Java, rapid prototyping, scripting, CI/CD, Git, Infrastructure as Code, automated testing, and architecture modeling/documentation using C4, UML, ArchiMate, and ADRs is expected., Description Leidos is seeking an experienced Network Solutions Architect who is interested in supporting large information technology projects for our Utility Technologies Soluti… + 1 month ago ## Related Videos - [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) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [ChatGPT and Java: A Match Made in Heaven or Hell?](https://www.wearedevelopers.com/videos/536-chatgpt-and-java-a-match-made-in-heaven-or-hell) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [Beyond UML: Making Sense of AI-Generated Code through Visual Architecture](https://www.wearedevelopers.com/videos/2102-beyond-uml-making-sense-of-ai-generated-code-through-visual-architecture) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [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)