AI Managing Consultant; Fluent in German
Listed on 2026-10-18
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Titleand Summary
AI Managing Consultant (Fluent in German)
Our purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
ImpactYou Generate
- Lead AI delivery and act as the client-facing AI subject-matter expert – translating business problems into AI/agentic solution architectures (e.g. LLM selection, RAG vs. fine-tuning, agent orchestration, agentic framework selection, context engineering, loop engineering) and pressure-testing feasibility, ROI, and Responsible-AI guardrails
- Advise C-level stakeholders on AI strategy, operating-model design, data & tech foundations, talent implications, and governance
- Contribute to AI strategy and program development for regional and international clients, applying AI, data, and technology solutions to create measurable client value with your project teams
- Independently structure your projects, conduct and oversee required analyses and synthesize project findings as well as take ownership and lead internal and client meetings
- Champion an experimentation and prototyping mindset — encourage rapid build–test–learn cycles (notebooks, prompt engineering, agent demos) instead of slide-only deliverables.
- Embed Responsible AI principles (bias, explainability, data privacy, model risk) into every engagement and coach the team on Mastercard's AI processes & policies
- We work in interdisciplinary teams that connect business intent with technical execution on the ground, not in siloed hand-offs between strategy and engineering.
- We contribute to Mastercard's AI intellectual capital — reusable accelerators, agent blueprints, prompt libraries, and internal upskilling of the broader consulting team.
- We expect ownership and an ambitious, extra-mile mindset, acting as a role model for the project team.
- Quantitative degree (Computer Science, Data Science, Engineering, Mathematics, Physics) combined with business acumen
- Five years of full-time experience in a fast-paced strategy, management consulting, corporate strategy, or business intelligence role
- Strong hands‑on experience building and deploying applications based on RAG architectures, task‑specific copilots or multi‑step reasoning systems (e.g., Lang Chain/Lang Graph), and spec‑driven development; hands‑on experience with deep learning frameworks (e.g. Tensor Flow, PyTorch) is a plus, not a requirement
- Working fluency in Python and the data/ML ecosystem (pandas, SQL, notebooks); familiarity with cloud AI platforms (Azure AI Foundry, Databricks, AWS Bedrock, or GCP Vertex) and MLOps concepts
- Ambitious and result‑oriented individual seeking to grow your career in an international setup
- Strong analytical skills to frame complex business problems, translate them into AI‑enabled solution opportunities, and guide project teams toward…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).