AI Solution Architect (f/m/d)

salestech Data & AI; Karlsruhe; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Office in Karlsruhe

On-site gym & yoga room

Fresh fruits and smoothies

Rooftop terrace with city view

Zusammenfassung

salestech Data & AI in Karlsruhe is seeking a Solution Architect to design end-to-end AI and data solutions for enterprise customers. You will translate business goals into technical architectures, lead cross-functional teams, and ensure scalable, secure deployments across cloud or hybrid environments.

Fluent English and German at B2 level are advantageous. You will collaborate with business stakeholders, define reference architectures, and drive the full lifecycle from requirements to

Qualifikationen

• 3–5 years in data & AI projects across the full lifecycle.
• Experience designing data/AI architectures on major cloud platforms.
• Working knowledge of MLOps concepts (CI/CD for models, versioning, monitoring).
• Ability to translate business requirements into technical solutions and artefacts.
• Experience directing development teams in customer projects.

Aufgaben

• Design end-to-end AI and data solutions from ingestion to deployment.
• Engage with customers and stakeholders to define AI use cases and value.
• Lead solution design and provide direction to data engineers and scientists.
• Own the full lifecycle from requirements to industrialisation and monitoring.
• Create architecture artefacts and reference architectures for cloud/hybrid environments.

Kenntnisse

Cross-functional leadership

Stakeholder communication

Translate business requirements

Fluent English & German (B2)

Ausbildung

Bachelor's degree in IT, CS, math, engineering or related field

Tools

Azure

AWS

GCP

MLOps / CI/CD

Jobbeschreibung

• 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).