Senior SAP AI & ML Engineer
Role details
Job location
Tech stack
Job description
The SAP AI & ML platform enables enterprises to embed intelligent automation, predictive analytics, and AI-driven insights into SAP business processes using SAP S/4HANA, SAP BTP, and cloud-native AI services., As a Senior SAP AI & ML Engineer, you will work closely with SAP Architects, Data Scientists, and Business Stakeholders to design, develop, and integrate Machine Learning models (including MLPs) and AI services into SAP landscapes. You will leverage SAP coding standards, GitHub-based DevOps, SAP BTP AI services, and GenAI capabilities to optimize enterprise processes and enable data-driven decision-making. The consultant will work closely with functional teams, ABAP developers, and architects to deliver intuitive, secure, and high-performing user interfaces using SAP Fiori and SAP UI5.
Responsibilities
Design and develop SAP-based AI and ML solutions aligned with enterprise architecture standards.
Build, train, deploy, and monitor ML models (including MLPs) for SAP business use cases.
Integrate AI/ML solutions with SAP systems (S/4HANA, BW, Datasphere) using APIs and OData services.
Develop SAP applications using ABAP, CDS, RAP/CAP, and SAP BTP services.
Implement GitHub-based version control, CI/CD pipelines, and DevOps practices.
Collaborate with SAP Architects to ensure secure, scalable SAP and cloud integrations.
Define security, access controls, and compliance for AI-enabled SAP solutions.
Identify and assess AI integration opportunities and architectural impacts.
Document solution architecture, ML pipelines, and integration patterns.
Support existing SAP AI solutions through structured change and release management.
Implement GenAI use cases to enhance SAP process intelligence and automation.
Communicate technical risks and contribute to governance and change management processes.
Requirements
Do you have experience in TensorFlow?, Must have
Strong knowledge of Machine Learning fundamentals, including supervised learning and model evaluation.
Hands-on experience with MLP models, neural networks, and Python-based ML development.
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Expertise in SAP BTP, including AI Core, AI Launchpad, and integration services.
Experience integrating AI/ML models into SAP using REST APIs, OData, and microservices.
Proficiency with GitHub, CI/CD pipelines, and DevOps practices.
Strong SQL and data handling skills with SAP HANA.
Knowledge of cloud platforms (AWS, Azure, or GCP) in SAP hybrid environments.
Experience with GenAI integration and MLOps concepts including model deployment and monitoring.
Nice to have
Strong stakeholder engagement and cross-functional collaboration skills.
Excellent analytical and problem-solving abilities.
Ability to mentor junior developers and share best practices.
Strong communication and documentation skills.
Agile/Scrum experience in enterprise delivery environments.
About the company
Luxoft, a DXC Technology Company, (NYSE: DXC), is a digital strategy and software engineering firm providing bespoke technology solutions that drive business change for customers the world over. Luxoft uses technology to enable business transformation, enhance customer experiences, and boost operational efficiency through its strategy, consulting, and engineering services. Luxoft combines a unique blend of engineering excellence and deep industry expertise, specializing in automotive, financial services, travel and hospitality, healthcare, life sciences, media and telecommunications.
