LocationHouston, TX or Columbia, SC. --- Must be local or willing to relocate
About the Job You're Considering Capgemini is seeking an
AI Associate (+ SAP ) Consultant to join our growing SAP practice. In this role, you will help organizations modernize business processes by embedding Artificial Intelligence and Machine Learning capabilities into SAP environments using SAP Business Technology Platform (BTP), SAP AI Core, AI Launchpad, SAP Analytics Cloud (SAC), and SAP DataSphere.
You will work alongside experienced SAP architects, and business stakeholders to develop innovative solutions that drive automation, improve decision-making, and create measurable business value. This is an excellent opportunity for an early-career consultant passionate about SAP, AI, cloud technologies, and digital transformation. One should learn and develop the knowledge, technical skills and core consulting behaviors required to succeed in applications consulting, primarily learning an appropriate methodology and acquire knowledge of a business domain and a Package Based Solution. Flexibility and versatility should be demonstrated in meeting objectives, and one should be able to manage workload and update management on task progress. Certification: One must be working toward or have achieved certification on Saas or Package Based solution and relevant methodology.‹
At Capgemini, you will gain exposure to cutting-edge SAP AI technologies, global transformation programs, and continuous learning opportunities designed to accelerate your career growth.
Application Consultants understand the client business process, current and future, and map it to the technologies being used, giving a demarcation of what can be achieved through a standard implementation and what would need customizations or extensions to be done to the application. They may functionally customize the application, partner with application developers to design application enhancements and extensions, and work with business users to implement process changes.
Hiring in the US - Houston, TX or Columbia, SC (local or willing to relocate). Must be able to work for any employer in the US indefinitely without sponsorship now or in the future.
Your Role - Support the design, development, and deployment of AI and Machine Learning solutions within SAP landscapes.
- Assist in identifying business use cases and opportunities for AI adoption across enterprise processes.
- Configure and support SAP AI capabilities, including AI Core, AI Launchpad, SAP Analytics Cloud (SAC), and DataSphere.
- Participate in the installation, setup, and configuration of SAP Dev Cockpit and Copilot technologies.
- Develop and deploy Machine Learning models to support forecasting, classification, optimization, and predictive analytics use cases.
- Collaborate with functional and technical teams to integrate AI capabilities with SAP S/4HANA, Ariba, SuccessFactors, and other SAP applications.
- Support data preparation, governance, model monitoring, and performance optimization activities.
- Work closely with business stakeholders to understand requirements and translate them into innovative SAP AI solutions.
- Participate in testing, solution validation, deployment, and post-production support activities.
- Stay current on emerging AI technologies, SAP innovations, and industry best practices.
#DI-KL1
Your Skills and Experience - Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
- 1-3 years of experience working with SAP technologies, AI/ML solutions, analytics, or enterprise applications.
- Foundational understanding of SAP S/4HANA and SAP Business Technology Platform (BTP).
- Exposure to SAP AI technologies such as AI Core, AI Launchpad, SAP Analytics Cloud (SAC), and SAP DataSphere.
- Hands-on experience with Python and SQL.
- Basic understanding of Machine Learning concepts, data analytics, and predictive modeling.
- Knowledge of SAP business processes across Finance (FI), Materials Management (MM), Sales & Distribution (SD), or related functional areas.
- Strong analytical, problem-solving, and communication skills.
- Ability to work collaboratively with business users, technical teams, and project stakeholders.
- Demonstrated interest in AI, automation, cloud technologies, and digital transformation initiatives.
Preferred - Experience/ Exposure to Generative AI, Natural Language Processing (NLP), Chatbots, or Conversational AI solutions.
- Familiarity with SAP Joule and SAP Conversational AI.
- Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP).
- Knowledge of data engineering, integration, or analytics solutions.
- SAP certifications a plus.
The base compensation range for this role in the posted location is: $43,984- $127,600
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.
