Anthropic4 days ago
Applied AI Engineer, Enterprise
Salary not specified
MARKET
65,900 ₽median for this role
AI Researcher · 37 jobs with disclosed pay
5,600half of the offers: 16,833–78,900143,300
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Munich
Responsibilities
- 01Partner 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
- 02Lead the technical side of each opportunity through to that decision, and remain the customer's technical advisor on Claude as they deploy
- 03Set 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
- 04Guide enterprise customers to the frontier of AI, advising them on how to deploy Claude into their operations, their products, and their ways of working
- 05Help customer engineering teams see how they would build on Claude, covering architecture, agent design and evaluation, so they can make a confident decision
- 06Build 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
- 07Guide 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
- 08Work 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
- 09Run executive briefings, technical workshops, and enablement sessions for both leadership and engineering audiences
- 10Navigate enterprise requirements around security, compliance, data residency, and governance, working with Anthropic's internal teams where needed
- 11Identify patterns across enterprise engagements and feed insights back to Product, Engineering, and the wider Applied AI team
- 12Travel to customer sites across Germany for executive meetings, workshops, and relationship building
Requirements
- 01Native or fluent German, written and spoken, as you will work day to day with German enterprise customers at both executive and engineering level
- 026+ years of experience as a Software Engineer, Solutions Architect, Forward Deployed Engineer, or technical founder
- 03Experience in a pre-sales or technical advisory role selling into large enterprises, ideally in the German market, including scoping and designing complex solutions
- 04Experience with value-based selling, meaning you can build a business case, quantify impact, and present it to senior decision makers
- 05Comfort presenting to, and building relationships with, C-level and VP-level stakeholders
- 06Experience owning the technical win in enterprise deals: evaluations, proofs of concept and technical due diligence with engineering, security, legal and procurement teams
- 07Production experience with LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale
- 08A hands-on engineering background, including building and deploying production applications, so you can relate to engineering leaders and their teams
- 09Familiarity with enterprise security, compliance, and architecture requirements, and experience working through them with customer teams
- 10The ability to explain complex AI concepts clearly to both technical and executive audiences, and to move between industries such as financial services, healthcare, retail, and manufacturing
- 11A passion for making powerful technology safe and beneficial
What we offer
- 01Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience