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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solutions Architect (AWS AI/ML, Data & Cloud Modernization) - **Company:** RevStar - **Location:** Berlin, Germany (Remote available) - **Experience:** Expert - **Salary:** €100,000.0 - €175,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Databases, Data Infrastructure, Amazon DynamoDB, Cloud Services, Migration Manager, Azure Machine Learning, Data Management, Code Restructuring - **Published:** August 22, 2026 - **Apply:** https://www.adzuna.de/details/5849981831 ## About the Role * Experience: 5+ years in a Solutions Architect, Pre-Sales Consultant, or Cloud Architect role within a consulting environment. * AWS Mastery: Deep expertise across AWS services, specifically AI/ML (Bedrock, SageMaker), data platforms (Redshift, Glue), and migration services. * Presales Capabilities: Proven ability to build SOWs, calculate AWS pricing models, and communicate complex architectural tradeoffs to executive stakeholders. * Certifications (Preferred): Active AWS Certified Solutions Architect (Professional) or AWS Machine Learning Specialty. ## Description Are you an expert AWS architect who loves running pre-sales discovery, designing cutting-edge GenAI/data platforms, and scoping cloud migrations-without the burden of carrying a sales quota? RevStar is an AI-first innovation shop and AWS Advanced Tier Partner building transformative cloud solutions for enterprise clients. We are seeking a customer-focused Solutions Architect to serve as our primary technical authority during the pre-sales lifecycle. Partnering directly with Account Executives and AWS field teams, you will validate use cases, architect Bedrock/SageMaker pipelines, build migration strategies, and calculate AWS cost models to accelerate deal velocity. Above all, the ideal candidate embodies RevStar's core values: Self-Mastery: We hold a high bar for how we think, communicate, and improve. Ownership: We own outcomes, not just effort. Shared Destiny: We rise or fall together. Your Impact Pillars Your technical leadership is organized into four core strategic pillars: 1. Pre-Sales Discovery & Customer Engagement * Lead technical discovery sessions to uncover customer requirements, existing infrastructure constraints, and modernization goals. * Serve as the trusted technical authority in client meetings, articulating architectural tradeoffs across AWS GenAI, data, and cloud migrations. * Partner with Account Executives on AWS co-sell motions to validate technical fit, scope use cases, and build client trust. 2. Modern Architecture & Migration Strategy * Design Well-Architected AWS reference diagrams covering GenAI (Bedrock, SageMaker, RAG, agentic workflows) and modern data platforms. * Define cloud migration and database modernization strategies (RDS, Aurora, DynamoDB) using rehost, replatform, or refactor frameworks. * Evaluate implementation risks, application sequencing, and security/compliance standards (HIPAA, SOC2). 3. SOW Development & AWS Pricing * Build accurate AWS cost estimates utilizing the AWS Pricing Calculator to highlight optimization opportunities early. * Draft technical scopes, implementation timelines, and delivery assumptions for Statements of Work (SOWs) and client proposals. * Provide technical inputs required for AWS funding programs (PoCs, MAP credits) alongside Account Executives. 4. Handoff & Delivery Alignment * Collaborate with internal engineering teams prior to deal close to ensure solution feasibility and delivery alignment. * Conduct seamless technical handoffs to delivery teams with fully documented architectures, migration assumptions, and risk logs. ## Related Videos - [Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML ](https://www.wearedevelopers.com/videos/78-leverage-cloud-computing-benefits-with-serverless-multi-cloud-ml) - [Green Cloud Computing](https://www.wearedevelopers.com/videos/592-green-cloud-computing) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Architecting the Future: Leveraging AI, Cloud, and Data for Business Success](https://www.wearedevelopers.com/videos/1096-architecting-the-future-leveraging-ai-cloud-and-data-for-business-success) - [Cloud-nativeApplications- What’s the buzz about](https://www.wearedevelopers.com/videos/55-cloud-nativeapplications-what-s-the-buzz-about) ## Related Articles - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Find Tech Jobs in Vienna](https://www.wearedevelopers.com/magazine/292-how-to-find-tech-jobs-in-vienna) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers)