What are the responsibilities and job description for the AI Architect position at nLeague?
AI Architect
Location: Remote, 450 W State St, Boise, ID. 83720
Job Id: 797824
Client: ID - DHW
Duration: 03 Months
Job 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.
Skills & Experience
- 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).
- Scripting experience in Power Fx, JavaScript, and/or Python.