1 month ago
Frankfurt, Germany or Munich, GermanyStaff+
Responsibilities
- Advise customer technologists and business leaders on scalable Generative AI, Agentic AI, and Machine Learning solutions on AWS.
- Lead executive and technical workshops to identify transformation opportunities and define architectures and business outcomes.
- Drive complex customer engagements from presales ideation and strategy through architecture, scoping, execution, and delivery.
- Provide technical leadership and delivery oversight for scope, architecture, deliverables, timelines, risks, and operational readiness.
- Act as a trusted advisor to senior stakeholders on AI and cloud transformation, governance, scalability, and business priorities.
- Mentor consultants and delivery teams while promoting AWS best practices, reusable patterns, and technical and delivery excellence.
- Create technical content and collaborate with account teams, partners, and AWS service teams.
Requirements
- Bachelor's degree or above in a quantitative field, or experience defining and creating benchmarks for assessing Generative AI model performance.
- Experience with machine learning or statistical modeling, data analysis tools and techniques, and parameters affecting their performance.
- Experience architecting and operating solutions on a cloud service provider such as AWS, Azure, GCP, or OCI.
- Experience in a quantitative role such as engineering, process re-engineering, or quality assurance, or experience using financial models, KPIs, and data analysis to support business decisions.
- Professional software engineering experience covering the full software development life cycle, including coding standards, software architecture, code reviews, source control, continuous deployments, testing, and operational excellence.
- Preferred experience in IT implementation; large-scale business software design, development, and deployment; or recent hands-on infrastructure, networking, compute, storage, and virtualization.
- Preferred knowledge of AWS compute, storage, networking, security, database, machine learning, and serverless services.
- Preferred experience with cloud performance optimization and cost management.
- Preferred Master's degree or above in STEM, or Bachelor's degree.
- Preferred experience translating technical analysis and metrics into actionable insights for technical and non-technical stakeholders.
Tech Stack
Categories
Solutions Engineering
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.