Responsibilities
- Partner with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria.
- Design, build, and deploy AI systems that solve customer problems and produce measurable business outcomes.
- Write code and build 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 resolve blockers.
- Help customers move 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.
- Translate deployment experience into high-signal product feedback.
Requirements
- Demonstrated experience designing, building, and delivering AI or machine-learning systems in enterprise environments from prototype through production.
- Substantial personal contributions in coding, architecture, evaluation, debugging, or production engineering.
- High proficiency in Python and comfort working across an AI application stack.
- Experience systematically evaluating AI systems with representative data, graders, production signals, and human judgment.
- Experience with enterprise production 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.
- Clear and credible communication with engineers, technical leaders, security teams, product leaders, and executives.
- High agency, strong technical judgment, and end-to-end ownership in ambiguous environments.
- Experience with JavaScript, TypeScript, or another relevant language is valuable but not required.
- Backgrounds in applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting are relevant.
- Experience in a particular industry or with OpenAI products is not required.
Benefits
- Hybrid work model requiring 3 days in the London office per week.
- Relocation assistance is offered to new employees.
- Reasonable accommodations are available for applicants with disabilities.
Tech Stack
Categories
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit. To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.