> Markdown version of [/jobs/ext/240777-dhw-ai-architect](https://www.wearedevelopers.com/jobs/ext/240777-dhw-ai-architect). 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). --- # DHW - AI Architect - **Company:** VeeRteq Solutions Inc - **Location:** United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Application Performance Management, Microsoft Azure, Business Software, Data Cleansing, Data Hub, Data Integration, Github, Monitoring of Systems, Object Detection, Role-Based Access Control, Search Technologies, Model-Driven Development, Feature Engineering, Microsoft Power Automate, Power Platform Integration, Prompt Engineering, Model Validation, Restful APIs, GPT, Powerapps, Key Vault - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8f7d14bce8deed3c ## About the Role Strong experience building applications with Power Apps, Power Automate, and Dataverse. Hands on expertise with AI Builder, including model configuration, training, and deployment. Practical experience with Azure AI Foundry (Azure AI Studio), including: GPT 4/4o models Embeddings and vector search Prompt flow Cognitive Services (Vision, Language, Speech, Search) Ability to design and consume REST APIs and integrate them into Power Platform solutions. Solid understanding of data preparation, feature engineering, and model evaluation. Familiarity with Power Platform governance, environment strategy, and DLP policies. Working knowledge of Azure security (managed identities, Key Vault, role based access). Experience with ALM pipelines for Power Platform (GitHub Actions or Azure DevOps). ## Description We are seeking an AI Solutions Developer with deep experience across the Microsoft Power Platform and Azure AI ecosystem. This role focuses on designing, building, and deploying AI powered business applications using Power Apps, AI Builder, Power Automate, and Azure AI Foundry. The ideal candidate blends low code solution development with strong technical understanding of modern AI models, data integration, and enterprise architecture. This is a hands on role responsible for turning business problems into scalable, secure, AI driven applications. Key Responsibilities Build end to end business applications using Power Apps (canvas and model driven) with integrated AI capabilities. Develop, train, and deploy AI Builder models including document processing, prediction, classification, object detection, and generative AI features. Design and orchestrate Azure AI Foundry solutions, including GPT 4/4o models, embeddings, vector search, prompt flows, and evaluation pipelines. Integrate Azure AI models with Power Apps and Power Automate using custom connectors, RESTAPIs, and Dataverse. Create secure, governed, and scalable AI architectures aligned with enterprise standards. Implement prompt engineering best practices, including grounding data, safety controls, and iterative evaluation. Collaborate with business stakeholders to translate requirements into AI enabled workflows and applications. Apply responsible AI principles, including bias mitigation, data privacy, and model monitoring. Support ALM processes using GitHub or Azure DevOps for Power Platform solutions. Troubleshoot, optimize, and continuously improve AI models and application performance. ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [PoC “Austria Experience Data Hub”](https://www.wearedevelopers.com/videos/92-poc-austria-experience-data-hub) - [Best practices: Building Enterprise Applications that leverage GenAI](https://www.wearedevelopers.com/videos/1513-best-practices-building-enterprise-applications-that-leverage-genai) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [The State of WebDev AI 2025 Results: What Can We Learn?](https://www.wearedevelopers.com/magazine/581-the-state-of-webdev-ai-2025-results-what-can-we-learn) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)