The opportunity
As an Applied AI Engineer on our Enterprise team, your role is to guide some of Germany's largest businesses to the frontier of AI and help them deploy Claude into their operations, their products, and their ways of working. You will become the go-to Claude Platform specialist…
What you'll do
Partner with Enterprise Account Executives and Applied AI Architects to take: enterprise customers in Germany from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude
Lead the technical side of each opportunity through to that decision, and: remain the customer's technical advisor on Claude as they deploy
Set customers and their systems integration partners up to deliver: agree the target architecture, define what good looks like, and stay on hand to advise the delivery team as the build progresses
Guide enterprise customers to the frontier of AI, advising them on how to: deploy Claude into their operations, their products, and their ways of working
Help customer engineering teams see how they would build on Claude, covering: architecture, agent design and evaluation, so they can make a confident decision
Build and present the business value case for Claude with C-level and senior: executives, in German and English, linking technical capabilities to measurable outcomes such as cost, revenue, risk, and time to market
What they're looking for
- Guide customers through long, multi-stakeholder procurement and adoption: cycles, including technical evaluations, proofs of concept, security and architecture reviews, and a clear path to production
- Work with Account Executives on account strategy, deal qualification, and: executive engagement plans, and with Applied AI Architects to keep context and continuity across every engagement
- Run executive briefings, technical workshops, and enablement sessions for: both leadership and engineering audiences
- Navigate enterprise requirements around security, compliance, data residency,: and governance, working with Anthropic's internal teams where needed
