Role Profile: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.
Specifically, the person will be responsible for the following: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.
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 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
Desired Skills: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
Qualifications:Bachelor's degree in computer science, equivalent field, or equivalent experience.
10+ years' experience building web applications.
The base compensation range for this role in the posted location is: 85,000 - 95,652.
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 on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- 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
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
