MS Dynamics AI Developer

CapgeminiNew York, NY
$100,000 - $130,000

About The Position

We are looking for a Senior Microsoft Power Platform Engineer who is familiar with AI Builder and Copilots 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 Microsoft Dynamics 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.
  • Bachelors degree in computer science, equivalent field, or equivalent experience.
  • 10 years experience building web applications.

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 Copilot 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.

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility
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