SAP AI Engineer

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AI Summary

Design, develop, and deploy AI-driven solutions within the SAP ecosystem. The ideal candidate will have experience in Machine Learning, Deep Learning, and Generative AI technologies. Collaborate with SAP functional and technical teams to embed AI-driven insights and automation into business processes.

Key Highlights
AI Model Development
SAP & Enterprise Integration
Data & Infrastructure Management
Key Responsibilities
Design, develop, train, and deploy AI/ML models to address business challenges and enhance SAP-driven processes.
Convert AI/ML prototypes into scalable, production-ready solutions and APIs.
Build and maintain scalable data ingestion, transformation, and processing pipelines.
Technical Skills Required
Python Machine Learning Deep Learning Generative AI SAP AI Core SAP AI Launchpad SAP Business Technology Platform (BTP) Large Language Models (LLMs) MLOps Model Lifecycle Management Production Deployment
Benefits & Perks
Competitive Gross Salary
20 days of holiday per year
Encourage Personal Development - Certification
Income Tax Return Filing
Visa Sponsorship for Candidate & Dependants
Possibility of bonus

Job Description


Contract: 12 months (subject to extension).

Location: Eindhoven, Netherlands.

Salary: Not a constraint for the right candidate!

Experience: 6-8 years.

Hybrid: 2 days Work from Home 3 days Work from Office


Your Profile & DNA:

We are seeking an innovative SAP AI Engineer to design, develop, deploy, and maintain AI-driven solutions within the SAP ecosystem. The ideal candidate will have experience in Machine Learning, Deep Learning, and Generative AI technologies, with the ability to integrate intelligent solutions into SAP business processes and enterprise applications.


Roles & Responsibilities

AI Model Development

  • Design, develop, train, and deploy AI/ML models to address business challenges and enhance SAP-driven processes.
  • Select appropriate algorithms and techniques, including:
  • Machine Learning (ML)
  • Deep Learning (DL)
  • Large Language Models (LLMs)
  • Generative AI (GenAI)
  • Perform feature engineering, model training, validation, testing, and hyperparameter tuning to optimize model performance and accuracy.

SAP & Enterprise Integration

  • Convert AI/ML prototypes into scalable, production-ready solutions and APIs.
  • Integrate AI capabilities with SAP applications, platforms, and business workflows.
  • Collaborate with SAP functional and technical teams to embed AI-driven insights and automation into business processes.
  • Develop and maintain interfaces between AI platforms and enterprise applications.

Data & Infrastructure Management

  • Build and maintain scalable data ingestion, transformation, and processing pipelines.
  • Design and support model training environments, deployment pipelines, and production infrastructure.
  • Ensure data quality, security, governance, and compliance throughout the AI lifecycle.

Monitoring & Optimization

  • Monitor deployed models for performance, accuracy, reliability, and scalability.
  • Identify and mitigate model drift, data drift, and operational issues.
  • Continuously improve AI solutions through retraining, optimization, and performance tuning.

Collaboration & Innovation

  • Work closely with business stakeholders, SAP teams, data scientists, software engineers, and product owners to translate business requirements into AI use cases.
  • Provide technical guidance on AI architecture, solution design, and implementation best practices.
  • Stay current with emerging AI, ML, and GenAI technologies and evaluate their applicability within SAP environments.


Qualification & Experience

  • A Bachelor's or Master's Degree or equivalent.

AI & Machine Learning

  • Strong experience in Machine Learning, Deep Learning, and Generative AI development.
  • Experience working with Large Language Models (LLMs) and modern AI frameworks.
  • Knowledge of model training, evaluation, optimization, and deployment methodologies.

Development & Integration

  • Proficiency in Python and AI/ML development libraries.
  • Experience developing RESTful APIs and integrating AI solutions with enterprise applications.
  • Understanding of MLOps practices, model lifecycle management, and production deployment.

SAP Knowledge

  • Experience working with SAP platforms and business processes.
  • Knowledge of SAP AI offerings, SAP Business Technology Platform (BTP), SAP AI Core, SAP AI Launchpad, or related SAP technologies is preferred.
  • Understanding of SAP data structures, integrations, and enterprise architecture.

Data Engineering & Cloud

  • Experience building and managing data pipelines and AI infrastructure.
  • Familiarity with cloud platforms and AI services.
  • Knowledge of scalable architectures for model training and inference workloads.


What do we offer?

If your profile matches the job requirement and you are interested to be presented to our clients, then please apply and don’t forget to attach your updated CV in line with the JD!

This position is for 1 year with possibility of extension. We offer competitive Gross Salary in line with the market standard.

Besides that, we offer following benefits, such as:

  • 20 days of holiday per year
  • Encourage Personal Development - Certification (Certification Charges reimbursed)
  • Income Tax Return Filing
  • We provide Visa Sponsorship for Candidate & Dependants
  • Possibility of bonus


Who we are:

A2G Consulting also known as "A2G Technologies" is one of the fastest growing staffing companies in North Brabant region, Netherlands. We cater to Asia and Europe market focusing on high tech & non-high-tech clientele; headquartered in Eindhoven, Netherlands with a branch office in India (Bangalore & Pune) & Dubai. We successfully find a candidate and ensure that they get opportunities in line with their aspirations. We offer visa sponsorship for local & international candidates for career-enhancing opportunities. We strongly believe in equal opportunities and hence have a pool of resources with diversified ethnicity.

You will be deployed and work at one of our client sites.


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