Power Platform AI Developer

Key Responsibilities

Build endtoend business applications using Power Apps (canvas and modeldriven) 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 GPT4/4o 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 AIenabled 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.

Handson expertise with AI Builder, including model configuration, training, and deployment.

Practical experience with Azure AI Foundry (Azure AI Studio), including:

GPT4/4o 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, rolebased access).

Experience with ALM pipelines for Power Platform (GitHub Actions or Azure DevOps).

Scripting experience in Power Fx, JavaScript, and/or Python.