2 days ago
Munich, GermanySenior
Responsibilities
- Partner with enterprise and digital-native customers to define AI opportunities, technical architectures, implementation plans, evaluation strategies, and success criteria.
- Design, build, and deploy AI systems that deliver measurable customer business outcomes.
- Write and debug code for prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators.
- Make technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance.
- Diagnose implementation challenges, reproduce failures, test hypotheses, and drive blockers to resolution.
- Guide customers from prototypes to reliable production systems, sustained adoption, and scaled impact.
- Collaborate with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams.
- Create reusable architectures, tooling, playbooks, and technical guidance for future enterprise deployments.
Requirements
- 5+ years of experience designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production.
- Fluency in both German and English.
- Substantial hands-on contributions to code, architecture, evaluation, debugging, or production-system engineering.
- High proficiency in Python and comfort working across an AI application stack.
- Experience or familiarity with systematic AI evaluation using representative data, graders, production signals, and human judgment.
- Experience navigating enterprise requirements including integrations, reliability, observability, security, privacy, data governance, performance, and cost.
- Ability to connect technical decisions to customer workflows, adoption, and measurable business outcomes.
- Ability to communicate effectively with engineers, technical leaders, security teams, product leaders, and executives.
- Strong technical judgment, high agency, end-to-end ownership, rapid learning, and collaborative problem-solving.
- Experience with JavaScript, TypeScript, another relevant language, a particular industry, or OpenAI products is valuable but not required.
Benefits
- Hybrid work model requiring 3 days per week in the office.
- Role based in Munich or Berlin.
- Relocation assistance is offered to new employees.
- Equal opportunity employer with reasonable accommodations available.
Tech Stack
Categories
Solutions Engineering
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.