You Will:
- Work directly with Utilities customers in KSA to discover, prioritize, and frame AI use cases on top of S/4
HANA and SAP BTP. - Design and implement end‑to‑end AI solutions: data pipelines from SAP, model selection/integration (SAP Business AI / BTP services), and UI/process integration.
- Run agile cycles (PoC → pilot → production), gather user feedback, and drive adoption in real business processes.
- Act as the “bridge” between Riyadh Lab customers and global SAP Product & Engineering, feeding requirements, gaps, and patterns into the roadmap.
- Produce reusable accelerators (reference architectures, templates, best practices) that can be scaled across KSA and the region.
You are able to translate business challenges into clear technical designs and deliver end‑to‑end, production‑ready solutions. You are confident working directly with customers, leading discovery sessions, delivering demos, and explaining technical trade‑offs in business terms. You are comfortable operating in a forward‑deployed role, taking ownership, collaborating closely with global teams, and staying motivated by creating real, measurable impact for customers. Experience working with local customers and partners is a plus.
Qualifications:- Strong software engineering background (e.g., Python/Java/Type Script) plus hands‑on experience with SAP BTP, integrations, and at least one major SAP domain (finance, supply chain, HR, public sector).
- Solid grounding in data and AI/ML concepts (data modelling, APIs, common AI patterns such as forecasting, classification, copilots/assistants).
- End to end process knowledge of fundamental Utilities processes such as Meter to Cash or Quote to Cash.
- Knowledge of the utilities market, its evolution, industry‑specific challenges and SAP’s industry portfolio.
- Confident in customer‑facing work and partner‑facing work: discovery workshops, demos, handling challenging stakeholders, and explaining technical trade‑offs in business language.
- Comfortable operating like a “forward‑deployed” engineer: high ownership, ambiguity‑tolerant, collaborative with global teams, and motivated by real impact at customers.
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.
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