Lead SAP AI Engineer

We help the world run better
At SAP we keep it simple: you bring your best to us and well bring out the best in you. Were builders touching over 20 industries and 80% of global commerce and we need your unique talents to help shape whats next. The work is challenging but it matters. Youll find a place where you can be yourself prioritize your wellbeing and truly belong. Whats in it for you Constant learning skill growth great benefits and a team that wants you to grow and succeed.

1. Where You Will Belong

You will join a high-performing innovation-driven SAP AI architecture and engineering team at the intersection of enterprise SAP technology and artificial intelligence. Our team operates with a bold ambition: Architect the Autonomous Enterprise Develop and Deliver Today. We are a group of intellectually curious outcome-obsessed SAP technologists who challenge conventional thinking embrace complexity and turn ambitious ideas into scalable production-grade SAP solutions.

The preferred candidate will possess insatiable curiosity unbounded creativity and a growth mindset to navigate ambiguity and deliver clarity within complex SAP environments. Driven by a passion for mentoring and a deep desire to teach and learn they will naturally translate business problems into elegant SAP-native architectures and solutions while actively giving and receiving feedback to maximize the teams collective knowledge and best practice development.

2. What You Will Do

a) Customer-Focused Outcomes

As a Senior SAP AI Engineer you will be a key driver of customer value delivery translating SAP AI architectural blueprints into fully functional scalable and production-ready solutions. Specifically you will:

Translate business requirements into technical solutions through workshops prototyping and iterative delivery

Collaborate with customers across the delivery lifecycle (workshops reviews UAT) to refine and optimize solutions

Design and implement production-grade AI solutions on SAP AI Foundation covering data models APIs front-end integration agent-to-agent communication workflows

Deliver Generative AI use cases on SAP BTP (e.g. RAG pipelines chatbots document processing AI-driven workflows)

Build and manage SAP AI Core pipelines including training model serving and monitoring for production readiness

Develop conversational and agent-based AI solutions (e.g. SAP Joule) to enable natural language interaction with SAP processes

Build end-to-end SAP applications using CAP and Fiori creating intuitive AI-augmented user experiences

Design and orchestrate agent-based workflows across SAP and non-SAP systems for intelligent automation

b) Functional Contributor for the Team

Beyond individual delivery you will play an important role as a senior technical voice and enabler within the development team. Specifically you will:

Define and promote SAP AI development standards including coding practices reusable components and deployment guidelines

Conduct code reviews and peer assessments providing high-quality feedback to improve solution quality and team capability

Mentor and support engineers through knowledge sharing pair programming and technical coaching

Contribute to pre-sales by developing and presenting PoCs and technical demos showcasing SAP AI capabilities

Support Agile delivery processes (e.g. sprint planning backlog refinement estimation) with strong technical input

Stay current with SAP AI and broader AI ecosystem trends driving continuous innovation within the team

3. What You Will Bring

a) Education & Track Record

Masters degree in Computer Science Software Engineering AI Information Systems or a related field

7 years of software development experience including 5 years in SAP BTP development and/or AI/ML engineering in enterprise SAP environments

Proven track record of delivering production-grade SAP AI solutions across full project lifecycles (design development deployment) using modern frameworks (e.g. CAP Fiori Integration Suite)

Professional fluency in German and English (C1)

b) Core Architecture & Engineering Skills

Solid understanding of SAP architecture principles and proven ability to design robust integration architectures

Strong Python skills for AI/ML development (e.g. LangChain LlamaIndex Hugging Face scikit-learn pandas NumPy) in SAP AI Core environments

Solid experience in SAP BTP development and subaccount management

Proficiency in SAP CAP ( for building scalable cloud-native applications and AI-enabled services

Experience with SAP Fiori/UI5 to develop and extend AI-powered user interfaces

Understanding of S/4HANA extensibility patterns (side-by-side in-app key-user) aligned with Clean Core principles

Strong API development skills (REST OpenAPI versioning) and SAP API Management

c) SAP AI & Agentic AI Skills

SAP AI Agentic AI & Generative AI Expertise

o Hands-on experience with SAP AI Foundation including model deployment serving and workflow orchestration

o Experience with SAP Generative AI Hub for managing LLM providers (e.g. Azure OpenAI AWS Bedrock Vertex AI)

Agentic AI & Multi-Agent Systems

o Strong knowledge of agentic AI frameworks (e.g. LangChain LangGraph AutoGen CrewAI)

o Experience designing multi-agent architectures (task orchestration state management delegation error handling)

o Ability to build conversational AI systems with context management memory and multi-turn interactions

o Familiarity with SAP Joule integration and extending it with custom skills and agents

Generative AI & LLM Engineering

o Expert-level prompt engineering skills (e.g. few-shot learning prompt chaining context optimization)

o Hands-on experience with RAG architectures (chunking embeddings vector search retrieval strategies)

c) Data & Integration Skills

Proficiency in SAP BDC including data product design data integration and use of Datasphere data in AI pipelines

Experience with SAP Integration Suite (e.g. Cloud Integration API Management Event Mesh) to connect AI services with SAP processes

Proficiency in SAP Cloud Connector and Destination Service for secure connectivity between BTP and backend systems

Experience with SAP OData services and RAP for exposing and consuming S/4HANA data in AI-enabled applications

d) AI Quality & DevOps Skills

Experience with SAP AI Core MLOps capabilities (e.g. training pipelines model management and inference endpoints)

Proficiency in SAP AI Launchpad for monitoring and managing AI scenarios across BTP environments

Strong experience with CI/CD pipelines on SAP BTP (e.g. SAP CI/CD service GitHub Actions Azure DevOps)

Knowledge of SAP BTP security best practices (e.g. OAuth2/XSUAA secret management encryption Responsible AI compliance)

e) Soft Skills Project Management Skills & Leadership Skills

Strong communication skills able to explain complex SAP AI concepts to both technical and business stakeholders

Strong ownership mindset ensuring quality reliability and timely delivery

Analytical and structured problem-solving approach

Adaptability and continuous learning mindset within evolving SAP AI landscapes

Solid understanding of Agile and SAP Activate methodologies

Mentoring and knowledge-sharing mindset supporting team growth

Customer-focused approach aligning development with business outcomes

#AI26

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Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software SAP has evolved to become a market leader in end-to-end business application software and related services for database analytics intelligent technologies and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide we are purpose-driven and future-focused with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries people or platforms we help ensure every challenge gets the solution it deserves. At SAP you can bring out your best.

We win with inclusion
SAPs culture of inclusion focus on health and well-being and flexible working models help ensure that everyone regardless of background feels included and can run at their best. At SAP we believe we are made stronger by the unique capabilities and qualities that each person brings to our company and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application please send an e-mail with your request to Recruiting Operations Team:

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age race religion national origin ethnicity gender (including pregnancy childbirth et al) sexual orientation gender identity or expression protected veteran status or disability in compliance with applicable federal state and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 450158 Work Area: Consulting and Professional Services Expected Travel: 0 - 50% Career Status: Professional Employment Type: Regular Full Time Additional Locations: #LI-Hybrid