AI Solution Architect

We are looking for an AI Solution Architect who will play a key role in shaping and delivering AI strategies for enterprise clients. This position blends technical leadership, architecture design, and strategic advisory. You will act as a trusted expert in AI, helping organizations design scalable solutions, identify high-impact use cases, and bring AI initiatives from concept to production.

Quick Facts

• Act as a go-to expert for AI-related topics across client engagements.
• Lead the design of end-to-end AI architectures, including data pipelines, model training environments, integrations, and MLOps strategies.
• Evaluate and select appropriate AI frameworks, tools, and models.
• Support decision-making processes for make vs. buy AI solutions.
• Ensure AI solutions comply with security standards, ethical guidelines, and enterprise reliability requirements.
• Support product management and innovation teams in identifying AI use cases that deliver real business value, such as efficiency improvements and customer value.
• Contribute to the creation of AI strategy and roadmaps, including ideation workshops, AI hackathons, and architecture discussions.
• Provide technical leadership in Machine Learning, Generative AI, and Agentic AI.
• Collaborate with product managers, data scientists, data engineers, and DevOps engineers to bring AI solutions into production.
• Monitor and improve AI systems using performance metrics, A/B testing, and optimization techniques.
• Research and evaluate emerging AI technologies and assess their impact on business transformation.
• Drive knowledge sharing and AI adoption across the organization.

What you’ll need to succeed in this role

• Bachelor’s or Master’s degree in Artificial Intelligence, Computer Science, Information Systems, or a related field.
• Several years of proven experience working with AI applications and modern AI technologies, such as ML, Generative AI, LLMs, and Agentic AI.
• Experience with major AI frameworks such as TensorFlow or PyTorch.
• Experience with AI cloud platforms, such as AWS, Azure, or SAP AI.
• Strong understanding of AI architecture design and implementation.
• Experience with MLOps and production deployment of AI systems.
• Excellent communication and presentation skills in English.
• Willingness to travel for the initial onboarding period and occasional workshops.

Advantages

• Experience in industrial environments, such as predictive maintenance.
• Experience with AI agents and workflow automation.
• Experience building or contributing to AI Centers of Excellence or AI programs.
• German language skills.

Perks and benefits

• Work in a supportive team of AI and Big Data enthusiasts.
• Engage with global enterprises and startups on international projects.
• Flexible work arrangements, including remote work and modern offices or coworking spaces.
• Career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including training materials and certifications through partnerships with Databricks and Anthropic.
• Team-building events and an integration budget.
• Work anniversary, birthday, and milestone celebrations.
• Medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
• Full work equipment, including a laptop and necessary devices.
• Opportunities to build a personal brand through conference speaking, blog writing, and meetups.
• Smooth onboarding with a dedicated buddy in a supportive and autonomous culture.