Senior Cloud Consultant – Data & AI Engineer (f/m/d, 4-Days-Week), German Speaking

Responsibilities

We are representing a confidential AWS consulting partner seeking a Senior Cloud Consultant specializing in Data & AI Engineering. In this role, you will take end-to-end ownership of advanced cloud projects:

• Design and implement scalable AWS architectures for data platforms and generative AI / agentic AI solutions
• Ensure security, performance, reliability, and cost efficiency aligned with AWS Well-Architected principles
• Make architecture decisions, document trade-offs, and translate business pain points into measurable technical requirements
• Develop generative AI and agentic AI solutions on AWS Bedrock using frameworks like Strands Agents and runtime governance components
• Build agent architectures with tool use, MCP-based integrations, multi-step orchestration, and clearly defined agent scope boundaries
• Implement human-in-the-loop patterns including approval steps, escalation logic, and automated review cycles
• Establish evaluation and quality assurance processes for LLM and agent systems
• Support technical pre-sales, project scoping, and statement of work development
• Serve as a trusted technical advisor for clients, translating complex technical solutions into clear business value
• Mentor junior colleagues and contribute to internal standards, best practices, and training development

What We're Looking For

Required 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
• Deep experience in data engineering and ETL architectures
• Practical experience with generative AI and agentic AI projects
• Excellent Python programming skills
• Fluent English; professional-level German required

Preferred qualifications:

• AWS certifications
• Experience in pre-sales or technical leadership roles
• Consulting background or client-facing project experience
• Experience with AWS Connect
• Solid experience with Infrastructure as Code (Terraform or comparable)
• Experience with LLM customization, fine-tuning, and distillation
• Practical MLOps experience (model deployment, monitoring, lifecycle management)
• Experience with Kafka or streaming technologies

How We Work with You

When you apply through Get A Job.ai, our talent team will screen your profile and guide you through the process. We will submit qualified candidates to our client for consideration. The typical hiring process involves up to three interviews, with offers generally extended within four weeks. Please do not contact the client directly—all communication flows through Get A Job.ai to ensure the best experience for everyone involved.

This position offers a 4-day work week (36 hours), remote-friendly setup with minimal travel (maximum 20% annually), AWS certification sponsorship, structured onboarding, personal mentoring, and regular team events. The role is based in München with flexibility for remote work.

Pay

Compensation details will be discussed during the screening process and are competitive based on experience. The position includes both fixed and variable components.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices and welcomes applications from all qualified candidates regardless of background.