Job
- Level
- Senior
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 67.000 to 88.500€ gross/year
Job Summary
In this role, you design scalable AWS architectures for Data Platforms and AI solutions, develop Generative AI projects, and support customers from planning to production implementation.
Job Technologies
Your role in the team
- Whatever our clients plan in the Data & AI domain on AWS, we design and develop it together with them from the first Architecture Workshop to production.
- We are looking for you: as a Senior Solutions Architect for Data & AI, you will be responsible for end-to-end projects in your area and actively shape our growing Data & AI Business Unit.
- You lead the development and implementation of scalable AWS architectures for Data Platforms and Gen AI / Agentic AI solutions.
- You ensure security, performance, reliability, and cost efficiency for our clients (AWS Well-Architected).
- You make architecture decisions along with trade-offs – and document them in a way that teams can build upon.
- You translate vague business pain points into measurable technical requirements and clear objectives.
- You bring an external perspective and elevate our existing standards to the next level.
- You participate in technical pre-sales, project scoping, and contribute to the creation of Statements of Work.
- You develop Generative AI and Agentic AI solutions on AWS Bedrock, using frameworks such as Strands Agents and runtime/governance components like Bedrock AgentCore.
- You develop agent architectures with tool use and MCP-based integrations, multi-step orchestration, and clearly defined boundaries of the agent scope.
- You implement Human-in-the-Loop patterns, from approval steps and escalation logic to (partially) automated review loops.
- You establish evaluation and quality assurance for LLM and agent systems.
- You demonstrate to clients how to use GenAI and Agentic AI pragmatically and responsibly.
- You are a trusted technical advisor for our clients.
- You support pre-sales and technical workshops.
- You translate complex technology into clear business value.
- You are a mentor for our junior colleagues.
- You contribute to internal standards, best practices, and training, and develop them further with us.
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Our expectations of you
Qualifications
- 5+ years in Cloud, Data, Software, or ML Engineering - including 2+ years with ownership of end-to-end architectures.
- Strong hands-on expertise with AWS.
- Very good Python skills.
- Business fluent English; German at a professional level.
- AWS certifications.
Experience
- Extensive experience in Data Engineering and ETL architectures.
- Experience with Generative / Agentic AI projects.
- Experience in Pre-Sales or technical leadership.
- Experience in consulting or client-facing projects.
- Experience with AWS Connect.
- Solid experience with IaC (Terraform or comparable).
- Experience with LLM customization / fine-tuning and distillation.
- Practical MLOps experience (model deployment, monitoring, lifecycle).
- Experience with Kafka/Streaming.
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What we offer
- 4-day workweek (with a reduced weekly working time of 36 hours) with a full focus on impact.
- Attractive package with a partially variable component, depending on your experience.
- Faster, more transparent hiring process (typically a maximum of 3 interviews, offer usually within 4 weeks).
- Personal mentoring and structured onboarding from Day 1. AWS certifications fully paid for by us.
- Remote-friendly setup with minimal travel requirements (max. 20% on average per year).
- Regular team and afterwork events at our locations plus joint offsites.
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Benefits
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
auvaria
Auvaria is a consulting and engineering company with focus on AWS, headquartered in Vienna, and offices in Berlin, Hamburg, and Novi Sad. Our team provides specialized cloud services along the entire cloud journey, regardless of what phase you are currently in: From strategy to migrations, architecture modernization, DevOps, data & AI, security, and managed services.
Description
- Company Size
- 50-249 Employees
- Company Type
- Digital Agency
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication