Forward Deployed Engineer - London

## About the Role The Forward Deployed Engineer position at Openai is a critical role that bridges the gap between research breakthroughs and production systems. As a key member of the Forward Deployed Engineering team, you will partner with customers to deploy frontier models in production, leading the entire process from discovery to rollout. This role is based in London and requires a unique blend of technical, business, and interpersonal skills. The team operates at the intersection of customer delivery and core platform development, making this an exciting opportunity for those who thrive in dynamic environments.

The success of Forward Deployed Engineers is measured by the adoption of the models in production, the impact on customer workflows, and the feedback that drives product and model roadmaps. This role involves close collaboration with various teams, including Product, Research, Partnerships, GRC, Security, and GTM, to ensure the successful deployment of models. With a focus on hybrid work, you will spend three days a week in the office and may be required to travel up to 50% of the time.

## What You Will Do - Own the technical delivery of complex model deployments from prototype to stable production, ensuring timely and quality outcomes.

• Build full-stack systems that deliver customer value, with a focus on sharpening the learning process and model improvement.
• Embed closely with customer teams to understand their needs, guide the adoption of deployed models, and ensure successful integration.
• Scope work, sequence delivery, and remove blockers early to maintain project momentum.
• Make strategic trade-offs between scope, speed, and quality to protect delivery timelines and outcomes.
• Contribute directly to coding when necessary to ensure progress or clarify technical aspects.
• Codify working patterns into reusable tools, playbooks, or building blocks for future deployments.
• Share field feedback with Research and Product teams to inform model improvements and product roadmaps.
• Keep teams moving through clear communication, follow-through, and decision-making.

• Proven track record of scoping and delivering complex systems in fast-moving or ambiguous environments.
• Ability to write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks.
• Experience with building or deploying systems powered by LLMs or generative models, with an understanding of how model behavior affects product experience.
• Strong communication skills to work effectively with engineers, product teams, and customer stakeholders.
• Ability to simplify complexity, make sound decisions under pressure, and model calm and judgment in high-stakes situations.
• Experience with GTM and Adjust is highly desirable.
• A strong understanding of the AI landscape and the importance of safely deploying AI systems.

• Knowledge of cloud computing platforms and containerization.
• Familiarity with agile development methodologies.
• Certification in AI, machine learning, or a related field.

• Collaborative and dynamic work environment with a team of experts.
• Hybrid remote work model with relocation assistance available.
• Professional development opportunities in a rapidly growing field.
• Access to the latest technologies and tools.
• Comprehensive health benefits and wellness programs.
• Competitive compensation package.
• Opportunity to contribute to the development of safe and beneficial AI systems.

- Develop a strong portfolio showcasing your experience with complex system deployments, especially those involving AI models.

• Be prepared to discuss your approach to simplifying complexity and making sound decisions under pressure.
• Highlight any experience you have with customer-facing work, particularly in technical roles.
• Show a genuine interest in AI development and its applications, and be prepared to discuss the ethical implications of AI deployment.
• When negotiating salary, consider the total compensation package, including benefits and any equity offerings.
• Look for opportunities to demonstrate your ability to communicate technical concepts to non-technical stakeholders.
• Be prepared to provide specific examples of times when you had to make trade-offs between scope, speed, and quality in a project.