Amazon Web Services (AWS) is hiring an Enterprise Account Engineer II in the Frankfurt Rhine-Main area to act as a trusted technical advisor for customers building and scaling Frontier AI workloads in the cloud, from training foundation models to deploying inference at scale.
 Role Overview
Position: Enterprise Account Engineer II
Customers: Organisations training LLMs and building generative AI apps
Technology: GPU and accelerator-based compute, distributed systems
Team: Works with solutions architects, service teams and account managers
Demand: Growing team as generative AI investment rises
Career Growth
Impact: Recommendations shape how customers build intelligent systems
Position: Work where cloud technology meets AI innovation
Collaboration: Advocate customer feature requests to AWS service teams
Culture: Inclusive employer valuing diverse experience and skills
 Position Overview
This Technical Account Manager style role covers architecture reviews, operational trade-offs, incident management and cost efficiency for AI and machine learning pipelines on AWS. A typical day mixes health dashboards, customer workshops and quarterly business reviews.
 Why This Role Matters: Customers at the front of AI need an expert who understands both cloud operations and ML infrastructure. You help them keep GPU clusters resilient, scalable and cost efficient while they move models into production.
Key Responsibilities
Architecture & Advisory
- Design and recommend cloud architectures for Frontier AI, including large-scale model training, fine-tuning and inference on GPU and accelerator compute
- Deliver guidance through architecture reviews, workshops and enablement sessions
Operations & Resilience
- Lead discussions on operational trade-offs, incident management and risk mitigation for complex AI and ML pipelines
- Review customer environments proactively to improve resilience, scalability and cost efficiency
Collaboration
- Work with solutions architects, service engineering teams and account managers to find adoption opportunities and clear technical blockers
Qualifications & Requirements
Basic Qualifications
- Experience with operational parameters and troubleshooting in three of: compute, storage, networking, CDN, databases, DevOps, big data and analytics, security, application development, in a distributed systems environment
- Experience in technical engineering
Preferred Qualifications
- Experience with AWS services or other cloud offerings
- Experience as a technical lead in an internal enterprise or external customer-facing environment
- Bachelor’s degree or equivalent
About AWS & Cloud AI Careers in Frankfurt
AWS supports organisations at the forefront of generative AI and foundation model development. The posting gives no salary or working model, so candidates should confirm these during the application process.
Career Excellence: Help the most ambitious AI teams run large-scale workloads reliably on the cloud.
Who Should Apply?
- Cloud Engineers: Moving into customer-facing AI roles
- Technical Account Managers: Ready for Frontier AI work
- DevOps and SRE Professionals: With distributed systems experience
- ML Infrastructure Engineers: Passionate about GPU workloads
- Solutions Engineers: In the Frankfurt Rhine-Main region
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