Senior Solutions Architect – Data & AI Engineer, German-Speaking

• Develop and implement scalable AWS architectures for Data Platforms and Generative AI/Agentic AI solutions
• Ensure security, performance, reliability, and cost efficiency in accordance with the AWS Well-Architected Framework
• Make and document architectural decisions, including trade-offs
• Translate business pain points into measurable technical requirements and clear objectives
• Continuously improve existing standards
• Contribute to technical pre-sales, project scoping, and the creation of Statements of Work
• Develop Generative AI and Agentic AI solutions on AWS Bedrock
• Develop agent architectures with tool use, MCP-based integrations, and multi-step orchestration
• Implement human-in-the-loop patterns, approval steps, escalation logic, and review loops
• Establish evaluation and quality assurance processes for LLM and agent systems
• Advise customers on the pragmatic and responsible use of GenAI and Agentic AI
• Act as a trusted technical advisor
• Support pre-sales activities and technical workshops
• Translate complex technology into clear business value
• Mentor junior colleagues
• Contribute to internal standards, best practices, and training

• 5+ years of experience in cloud, data, software, or ML engineering, including 2+ years owning end-to-end architectures
• Strong hands-on expertise with AWS
• Solid experience in data engineering and ETL architectures
• Experience with Generative AI/Agentic AI projects
• Excellent Python skills
• Fluent English
• Professional-level German
• AWS certifications are a plus
• Experience in pre-sales or technical leadership is a plus
• Experience in consulting or customer-facing projects is a plus
• Experience with AWS Connect is a plus
• Solid experience with IaC (Terraform or comparable tools) is a plus
• Experience with LLM customization, fine-tuning, and distillation is a plus
• Practical MLOps experience (model deployment, monitoring, and lifecycle management) is a plus
• Experience with Kafka/streaming is a plus

• Four-day workweek (36-hour reduced working week) with a strong focus on impact
• Attractive compensation package with a partially variable component, depending on your experience
• Fast, transparent hiring process (typically no more than three interviews, with an offer generally made within four weeks)
• Personal mentoring and structured onboarding from day one
• AWS certifications fully funded by us
• Remote-friendly setup with limited travel (maximum 20% on average per year)
• Regular team and after-work events at our locations, plus company offsites
• Inclusive culture, equal opportunities, and participation