Role overview

Pay Range: XXXhr - XXXhr

Job Overview:

Our client is seeking a Senior Microsoft Power Platform Engineer familiar with AI Builder, Copilots, Dynamics, and Power Apps. The ideal candidate will have experience designing and deploying AI-powered solutions for business automation, customer interaction, and data-driven decision-making. The candidate will focus on LLM-based AI systems, conversational AI, and machine learning-driven automation, with demonstrated expertise in building scalable, production-ready solutions. Experience with data integration and connecting Copilot Studio to relevant data sources such as SharePoint, Dynamics 365, and external APIs is required.

Key Responsibilities:

Design, develop, and implement AI models and algorithms using Microsoft technologies.
Collaborate with data scientists and business stakeholders to understand requirements and design effective AI solutions.
Build and maintain scalable, high-performance AI infrastructure on the Microsoft Azure platform, AI Builder, and Copilot with Dynamics.
Develop and deploy machine learning models using Azure Machine Learning, Cognitive Services, Bot Framework, and other Azure AI tools.
Optimize AI algorithms for performance and scalability.
Conduct thorough testing and validation of AI models to ensure accuracy and reliability.
Document and communicate AI solutions and recommendations to technical and non-technical stakeholders clearly and effectively.
Evaluate AI technologies (such as LLMs, SLMs, embeddings) and architectures (such as orchestration patterns, RAG, etc.) when developing solutions, specifying or implementing AI platform improvements like fine-tuning or training custom ML models.

Required Skills:

Experience with Power Apps, Power Automate, Plugins, AI Builder, Copilot, and related architecture and design practices.
Experience with Azure, Azure DevOps for CI/CD, and C#.NET.
Proven experience in developing and deploying AI models and algorithms.
Proficiency in programming languages such as Python, Java, or C#.
Strong knowledge of AI frameworks and libraries such as TensorFlow, PyTorch, or similar.
Experience with Microsoft Dynamics 365 Customer Engagement.
Experience with iterative and agile development practices.
Strong problem-solving and troubleshooting skills with the ability to exercise Experienced judgment.
Excellent communication skills.

Desired Skills:

Dynamics, Power Platform, or Azure certifications.
Familiarity with basic Machine Learning concepts.
Knowledge of Enterprise Architecture Patterns.
Experience with full lifecycle application testing (functional, regression, performance, integration, etc.) and delivery management.
Comfortable with direct interaction with business users at all levels.

Qualifications:

Bachelor's degree in computer science, equivalent field, or equivalent experience.
10+ years of experience building web applications.