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Auvaria

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

Auvaria

. Develop and implement scalable AWS architectures for data platforms and GenAI/Agentic AI solutions.

Posted 10/2/2026full-timeRemote • GermanySenior💰 €65,000 - €85,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing scalable AWS architectures for data platforms and generative AI solutions, with a strong focus on security, performance, and cost efficiency. Proven ability to translate business needs into technical requirements while mentoring junior colleagues and contributing to best practices.

Highest-signal resume keywords
AWS Architecture DevelopmentGenerative AI SolutionsData Engineering and ETLPython ProgrammingTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AWSData EngineeringETL ArchitecturesGenerative AIAgentic AIPythonMLOpsInfrastructure as Code (IaC)KafkaLLM Customization
Soft Skills
MentoringTechnical AdvisoryCommunication
Tools & Technologies
AWS BedrockTerraformAWS Connect
Certifications & Qualifications
AWS Certifications
Industry Keywords
Cloud EngineeringMachine Learning EngineeringPre-SalesConsultingCustomer-Facing Projects

Tech Stack

Tools & technologies
AWSCloudETLKafkaPythonTerraform

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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.