Senior Microsoft Power Platform Engineer

Lumiere SystemsNew York, NY

About The Position

We are looking for a Senior Microsoft Power Platform Engineer who is familiar with AI Builder and Co-Pilots as well as 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. They will be focused on LLM-based AI systems, conversational AI, and machine learning-driven automation, experienced in building scalable and production-ready solutions. They should have worked on Data Integration, Connecting Copilot Studio to relevant data sources like SharePoint, Dynamics 365, and external APIs.

Requirements

  • 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 in the following technologies – Microsoft Dynamic 365 Customer Engagement
  • Experience of iterative / agile development practices
  • Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.
  • Excellent communication skills
  • Applicants must be authorized to work in the United States on a full-time basis without the need for current or future visa sponsorship.

Nice To Haves

  • Dynamics / Power Platform / Azure certifications
  • Familiar 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 the business users at all levels

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 Co-pilot with Dynamics.
  • Develop and deploy machine learning models using 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.
  • Evaluates AI technologies (such as LLMs, SLMs, embeddings) and architectures (such as orchestration patterns, RAG, etc) when developing solutions. Specifies or implements AI platform improvements like fine-tuning or training custom ML models.
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