Senior AI Engineer SAP
Salva questo lavoro e mantieni la tua ricerca organizzata
Crea un account gratuito per salvare lavori, creare avvisi e tornare a questa inserzione dalla tua dashboard.
Continuando accetti i nostri Termini & Informativa sulla privacy.
You design and ship production AI on SAP landscapes, shaping real business outcomes with governance. You own architecture and delivery, from concept to production. You work closely with cross-functional teams to extend SAP capabilities and drive measurable impact. This role offers hands-on engineering leadership and a chance to influence enterprise AI strategy at scale. Join a collaborative, expert team solving complex data and automation challenges.
Retribuzione / Benefits- competitive salaries
- global team of SAP experts
- diversity and inclusion
- opportunity to work on Fortune 500 projects
- broad range of benefits
- Design and ship production AI on SAP BTP, including agents, retrieval systems, and embedded intelligence
- Build custom agents and extend Joule Studio capabilities
- Implement retrieval-augmented generation over enterprise data using HANA Cloud, Datasphere/Business Data Cloud, and Knowledge Graph grounding
- Develop application and integration layers (CAP services, OData APIs, SAP Integration Suite flows)
- Own model selection, prompt design, evaluation, and cost/latency trade-offs
- Establish evaluation harnesses, observability, and guardrails for measurable agent behavior
- Operate within clean-core and ABAP Cloud constraints, advocating appropriate extension patterns
- Collaborate with consultants and stakeholders to translate pain points into scoped use cases
- Mentor engineers to improve code quality, testing, and delivery practices
- 5+ years building production software, with 2+ years shipping AI/ML or LLM-based systems used by real users
- Hands-on SAP BTP experience, including AI Core, Generative AI Hub, CAP, HANA Cloud, and understanding S/4HANA data/processes
- Strong Python, plus JavaScript/TypeScript for CAP and Node-based services
- Practical RAG and agent engineering: chunking, retrieval strategy, tool/function calling, orchestration, and production failure awareness
- Solid grasp of enterprise constraints: authorizations, data residency, auditability, and PII handling
- Ability to explain technical decisions to customers or business stakeholders without jargon
- Fluent English; German is a plus
- clear communication with stakeholders
- mentoring and coaching teammates
- problem-solving with a pragmatic, outcomes-focused mindset
- SAP BTP, AI Core, Generative AI Hub, CAP, HANA Cloud
- Datasphere/Business Data Cloud, Knowledge Graph grounding
- OData APIs, SAP Integration Suite