Senior Microsoft power platform Engineer (Strong expertise in AI Builder, Copilots, Dynamics 365)

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Location: New York City, NY

Job Description

We are seeking a highly skilled Senior Microsoft Power Platform Engineer with strong expertise in AI Builder, Copilots, Dynamics 365, and Power Apps. The ideal candidate will have hands-on experience designing and deploying AI-driven solutions that support business automation, enhance customer engagement, and enable data‑driven decision-making. This role focuses on LLM‑based systems, conversational AI, and machine learning–enabled automation, with an emphasis on building scalable, production-ready solutions.
The candidate should also have experience integrating data sources—such as SharePoint, Dynamics 365, and external APIs—into Copilot Studio solutions.

Key Responsibilities

• Design, build, and implement AI models and algorithms using Microsoft technologies.
• Collaborate with data scientists and business teams to translate requirements into effective AI-driven solutions.
• Develop and maintain scalable, high-performance AI infrastructure using Azure, AI Builder, and Copilots integrated with Dynamics 365.
• Deploy machine learning models using Azure Machine Learning, Cognitive Services, Bot Framework, and related Azure AI tools.
• Optimize AI models for efficiency, performance, and scalability.
• Perform rigorous testing and validation to ensure the accuracy and reliability of AI solutions.
• Document AI architectures, processes, and recommendations clearly for both technical and non‑technical audiences.
• Evaluate emerging AI technologies—including LLMs, SLMs, embeddings, and architectures such as RAG and orchestration patterns.
• Recommend or implement improvements such as fine‑tuning or custom ML model training.
• Required Skills
• Strong experience with Power Apps, Power Automate, Plugins, AI Builder, Copilot, and related solution design patterns.
• Proficiency with Azure and Azure DevOps for CI/CD.
• Experience with .NET technologies.
• Proven ability to design and deploy AI models and algorithms.
• Knowledge of programming languages such as Python, Java, or C#.
• Familiarity with AI frameworks like TensorFlow, PyTorch, or equivalent tools.
• Experience with Microsoft Dynamics 365 Customer Engagement.
• Background in iterative and Agile development methodologies.
• Strong analytical, problem‑solving, and troubleshooting abilities.
• Excellent communication and stakeholder engagement skills.

Desired Skills

• Certifications in Dynamics, Power Platform, or Azure.
• Understanding of foundational Machine Learning concepts.
• Knowledge of enterprise architecture patterns.
• Experience with full application lifecycle testing (functional, regression, performance, integration) and delivery management.
• Comfortable interacting directly with business users across all levels of the organization.

Qualifications

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• 10+ years of experience building web applications.

The base compensation range for this role in the posted location is $100,000 - $130,000/annum

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending o