MS Dynamics AI Developer
Role details
Job location
Tech stack
Job description
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 AIpowered solutions for business automation customer interaction and datadriven decisionmaking
They will be focused on LLMbased AI systems conversational AI and machine learningdriven automation experienced in building scalable and productionready solutions They should have worked on Data Integration Connecting Copilot Studio to relevant data sources like SharePoint Dynamics 365 and external APIsSpecifically 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 highperformance 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 nontechnical 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 finetuning or training custom ML models
Requirements
Experience with Power Apps Power automate Plugins AI Builder CoPilot and related architecture and design practices
Experience with Azure Azure DevOps for CICD 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, Bachelors degree in computer science equivalent field or equivalent experience 10 years experience building web applications
Benefits & conditions
The base compensation range for this role in the posted location is 100000 to 130000
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.
About the company
Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.