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

Auvaria

. Develop and implement scalable AWS architectures for Data Platforms and Generative AI/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 ArchitecturesPythonMLOpsIaC (Terraform)LLM CustomizationKafka/StreamingGenerative AIAgentic AI

Soft Skills

MentoringTechnical AdvisoryCommunication

Tools & Technologies

AWS BedrockAWS ConnectTerraform

Certifications & Qualifications

AWS Certifications

Industry Keywords

Cloud EngineeringData PlatformsPre-SalesConsultingCustomer-Facing Projects

Tech Stack

Tools & technologies

AWSCloudETLKafkaPythonTerraform

About the role

Key responsibilities & impact

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

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/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

Benefits

Comp & perks

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