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

🔥 12 hours ago

🇩🇪 Germany – Remote

💵 €65k - €85k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Auvaria

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

Consulting

Auvaria is a consulting and engineering company focused on AWS, based in Vienna, Austria and Berlin, Germany. The company provides specialized cloud services throughout the entire cloud journey, from strategy to migrations, architecture modernization, DevOps, data & analytics, security, and managed services. Auvaria aims to help clients, whether novices or experts, maximize the value of cloud technologies while minimizing risks and costs, ultimately enabling a long-term competitive advantage. Their approach emphasizes understanding individual client needs and successfully guiding teams through the cultural changes of cloud adoption, along with providing training for sustainable value creation.

📋 Description

• Develop and implement scalable AWS architectures for data platforms and GenAI/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 preparation of Statements of Work. • Develop generative AI and agentic AI solutions on AWS Bedrock using Strands Agents and Bedrock AgentCore. • Develop agent architectures featuring tool use, MCP-based integrations, multi-step orchestration, and clearly defined agent-scope boundaries. • Implement human-in-the-loop patterns, approval steps, escalation logic, and automated 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 and support technical workshops. • Translate complex technology into clear business value. • Mentor junior colleagues. • Contribute to internal standards, best practices, and training programs.

🎯 Requirements

• 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 and agentic AI projects. • Excellent Python skills. • Fluent English. • Professional-level German. • AWS certifications (nice to have). • Experience in pre-sales or technical leadership (nice to have). • Experience in consulting or customer-facing projects (nice to have). • Experience with AWS Connect (nice to have). • Solid experience with IaC, such as Terraform or an equivalent technology (nice to have). • Experience with LLM customization, fine-tuning, and distillation (nice to have). • Practical MLOps experience, including model deployment, monitoring, and lifecycle management (nice to have). • Experience with Kafka/streaming (nice to have).

🏖️ Benefits

• Four-day workweek with a reduced 36-hour working week, allowing you to focus fully 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 usually made within four weeks. • Personalized mentoring and structured onboarding from day one. • AWS certifications fully funded by us. • Remote-friendly setup with limited travel—no more than 20% on average per year. • Regular team and after-work events at our locations, plus shared offsites.