AI Engineer - Microsoft Power Platform
Listed on 2026-07-13
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Software Development
AI Engineer (Applied/Software)
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Role Overview & Business ImpactAs a Senior AI Engineer – Microsoft Power Platform
, you will lead the design and delivery of enterprise‑grade AI experiences embedded directly into Power Apps, Power Automate, Power BI, and Copilot Studio
. You will accelerate business outcomes by integrating Azure AI and OpenAI capabilities into workflow automation, decision support, customer/member/patient experiences, and operational intelligence – while ensuring solutions meet strict security, compliance, governance, and scalability requirements.
You will partner closely with product, architecture, security, and business stakeholders to move AI from experimentation to production‑ready, governed, and measurable solutions. This is a senior, hands‑on role for someone who can both build and influence
, shaping reusable patterns, platform standards, and best practices that enable safe AI adoption at scale.
- Design, build, and deploy AI‑powered solutions using Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse) with Azure AI services and Azure OpenAI/OpenAI APIs
- Implement advanced AI patterns including retrieval‑augmented generation (RAG), summarization, classification, entity extraction, conversational copilots, and document intelligence
- Develop reusable components such as connectors, APIs, templates, shared prompt libraries, and solution accelerators to enable consistent enterprise adoption
- Build and optimize intelligent workflows using Power Automate
, including approvals, exception handling, and human‑in‑the‑loop processing - Integrate enterprise systems via standard and custom connectors, API Management, and secure REST APIs
- Implement monitoring, logging, and alerting for AI‑enabled workflows to ensure operational reliability
- Define and enforce governance standards for AI usage within Power Platform, including environment strategy, DLP policies, connector controls, and access management
- Establish prompt governance practices such as versioning, review, safety controls, and lifecycle management
- Ensure alignment with Responsible AI principles
, regulatory requirements, and organizational risk posture
- Design solutions using secure engineering principles including identity management (Entra /Azure AD), RBAC, least privilege access, and secrets management
- Ensure data privacy, retention, and auditability across AI solutions, especially when handling sensitive or regulated data
- Partner with security and compliance teams to evaluate and remediate risks throughout the solution lifecycle
- Implement enterprise application lifecycle management using solutions, CI/CD pipelines, automated testing, and controlled deployments
- Optimize AI usage for performance, scalability, and cost efficiency, including concurrency controls and usage monitoring
- Support multi‑environment strategies (Dev/Test/Prod) and managed solutions for long‑term maintainability
- Translate business problems into technical designs and AI‑enabled roadmaps with clear success metrics
- Provide architectural guidance, technical mentorship, code reviews, and best practices to development and maker communities
- Lead proof‑of‑concept initiatives and industrialize successful solutions for enterprise‑wide adoption
- 8+ years of experience in software engineering, platform engineering, or applied AI roles, with 3+ years delivering enterprise solutions on Microsoft Power Platform
- Strong hands‑on experience with Power Apps (Canvas and/or…
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