Senior AI Engineer SAP
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 5+ years building software in production, including 2+ years shipping AI/ML or LLM-based systems that real users depend on.
- Hands-on SAP BTP experience, AI Core, Generative AI Hub, CAP, HANA Cloud, and a working understanding of how S/4HANA data and processes fit together.
- Strong Python, plus enough JavaScript or TypeScript to be effective with CAP and Node-based services.
- Practical RAG and agent engineering: chunking and retrieval strategy, tool and function calling, orchestration, and a clear sense of how these fail in production.
- Solid grasp of enterprise constraints: authorizations and principal propagation, data residency, auditability and PII handling.
- Ability to work directly with customers or business stakeholders and explain technical decisions without jargon.
- Fluent English; German is a plus.
Nice to have
- ABAP or ABAP Cloud, RAP, CAP and clean-core extension experience.
- SAP Business Data Cloud, Datasphere or Analytics Cloud.
- Agent governance and lifecycle tooling, for example SAP AI Agent Hub or LeanIX.
- Hyperscaler AI platforms: Azure AI Foundry, AWS Bedrock or Google Vertex AI.
- Industry depth in [insurance / manufacturing / financial services].
- SAP certifications in BTP, AI or development.
- Conference talks, technical writing or open-source contributions.
Full description
What we do
msg global solutions leverages cutting-edge technologies, including AI, to solve business challenges. We partner with industry leaders like SAP and AWS to deliver enterprise solutions to Fortune 500 companies, transforming data into valuable insights.
Our solutions reshape industries such as finance, insurance, and manufacturing, specializing in:
- Advanced analytics and AI technologies
- Industry-specific technologies and IoT integration
- Data-driven operational excellence
By partnering with us, organizations can transform their business models, uncover new revenue streams, and achieve operational excellence. As part of the msg group, we combine specialized agility with global IT resources to shape the future of business.
What you will do
You will design and build production AI on top of SAP landscapes: agents, retrieval systems and embedded intelligence that run against real business data and hold up under enterprise governance, not just in a demo.
This is a hands-on engineering role with architecture ownership: you decide how a use case gets built, and then you build it.
- Design and ship AI solutions on SAP BTP using AI Core, Generative AI Hub and AI Foundation, from proof of concept through to production operation.
- Build custom agents and skills in Joule Studio, and extend standard Joule capabilities where the out-of-the-box scope stops short.
- Implement retrieval-augmented generation over enterprise data using HANA Cloud vector storage, SAP Datasphere / Business Data Cloud and Knowledge Graph grounding.
- Develop the application and integration layer around your models: CAP services, OData APIs and SAP Integration Suite flows.
- Own model selection, prompt design, evaluation and cost/latency tuning — and defend the trade-offs to both engineers and business stakeholders.
- Establish evaluation harnesses, observability and guardrails so agent behavior is measurable rather than anecdotal.
- Work within clean-core and ABAP Cloud constraints, and make the case for the right extension pattern when there is a shortcut on offer.
- Partner with functional consultants and customer stakeholders to turn vague process pain into a scoped, buildable use case.
- Mentor engineers on the team and raise the bar on code quality, testing and delivery practice.
What we are looking for
Requirements