Design end-to-end AI and data solutions: from data ingestion and modelling to deployment and integration into core business processes.
Engage directly with customers and business stakeholders: understand strategic goals, translate them into AI use cases, and facilitate workshops that bridge data/AI capabilities and measurable business value.
Define concepts for business challenges and decompose them into technically solvable components with clear scope, interfaces, and priorities.
Shape target solution and business architectures (capability maps, process flows, value streams) and define reference architectures, patterns, and guardrails for AI solutions in cloud and hybrid environments.
Lead solution design and give technical direction to development teams (data engineers, data scientists, software engineers), ensuring scalability, security, performance, and maintainability.
Own the full solution lifecycle: from requirements and proof-of-concept to industrialisation, MLOps, monitoring, and continuous improvement.
Create architecture artefacts (solution blueprints, context, sequence, and data-flow diagrams) documenting how AI solutions deliver business outcomes.
Evaluate and select AI platforms, tools, and components, aligned with the existing IT and enterprise architecture.
Decompose complex business challenges into technically solvable modules: define clear scopes, interfaces, dependencies, and priorities, and communicate the resulting solution approach convincingly back to the business and the customer.
Requirements
Degree in (business) informatics, computer science, mathematics, engineering, natural sciences, or a comparable field.
3–5 years in data & AI projects across the full lifecycle, from requirements engineering to operationalisation.
Proven experience designing data/AI architectures on a major cloud platform (Azure, AWS, or GCP), including data platforms, pipelines, and APIs (event-driven architectures, microservices).
Working knowledge of MLOps concepts (CI/CD for models, versioning, monitoring, retraining).
Strong skills in statistics, machine learning, and advanced analytics, with a solid grounding in data modelling, data management, and governance.
Ability to translate business requirements into technical solutions and clear architecture artefacts.
Experience directing development teams in customer projects.
Confident customer-facing communicator, able to explain complex technical concepts to business and technical audiences up to C-level, in fluent English and German at B2 level or above is a strong advantage.
Independent, solution-oriented working style with strong team spirit.
To be salestech Data & AI
We offer you a steep learning curve and further development opportunities in a flexible and positive working environment.
Dynamic and international teammates great to work with, open-minded, and always there to support you. After-work events in our office in Karlsruhe, excursions and different occasions for team gathering.
Fresh fruits and vegetables, professional coffee machine, and self-made smoothies everyday. On-site private gym and yoga room to relax and take a break from work.
Modern office including a great rooftop terrace with city view (Karlsruhe).
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