Forward Deployed Engineer - Stockholm

About the Role

Day-to-day, you will lead complex end-to-end deployments of frontier models in production alongside Openai's most strategic customers. This entails owning the discovery, technical scoping, system design, build, and production rollout of these deployments. Your success will be measured through the adoption of these models in production, the measurable impact on customer workflows, and the feedback that drives changes in product and model roadmaps.

You will work closely with various teams including Product, Research, Partnerships, GRC, Security, and GTM. This role is based in Stockholm and follows a hybrid work model with 3 days in the office per week. Relocation assistance is offered, and travel up to 50% may be required.

What You Will Do

• Own technical delivery across multiple deployments from the first prototype to stable production.
• Build full-stack systems that deliver customer value and enhance the learning process.
• Embed closely with customer teams to understand their needs and guide the adoption of the systems you build.
• Scope work, sequence delivery, and remove blockers early to ensure smooth project progression.
• Make trade-offs between scope, speed, and quality, adjusting plans as necessary to protect delivery.
• Contribute directly to the code when progress or clarity depends on it.
• Codify working patterns into tools, playbooks, or building blocks that others can use.
• Share field feedback that helps Research and Product teams understand the successes and areas for improvement of the models.
• Keep teams moving through clarity and follow-through, ensuring projects stay on track.

What We Are Looking For

• 5+ years of engineering or technical deployment experience, including customer-facing work.
• Experience in 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 in building or deploying systems powered by LLMs or generative models, with an understanding of how model behavior affects product experience.
• Ability to simplify complexity and make fast, sound decisions under pressure.
• Excellent communication skills to work effectively with engineers, product teams, and customer stakeholders.
• Ability to spot risks early and adjust without slowing down.
• Modeling calm and judgment when stakes are high.

Nice to Have

• Experience with GTM and Adjust.
• Knowledge of AI research and deployment principles.
• Familiarity with a hybrid work environment and the ability to thrive in it.

Benefits and Perks

• Opportunity to work on cutting-edge AI research and deployment projects.
• Collaborative and innovative work environment.
• Hybrid work model with relocation assistance.
• Travel opportunities up to 50%.
• Access to the latest technologies and tools.
• Professional development opportunities.
• Competitive compensation and benefits package.

• Ensure your portfolio showcases your ability to deploy complex models into production systems, highlighting any experience with GTM and Adjust.
• Practice explaining technical concepts to non-technical stakeholders, as this is a key part of the customer-facing aspect of the role.
• Be prepared to discuss your approach to simplifying complexity and making decisions under pressure, providing specific examples from your experience.
• Research Openai's mission and values to understand how your skills and experience align with their goals and to show your enthusiasm for contributing to the development of general-purpose artificial intelligence.
• Consider preparing questions about the company culture, the team you will be working with, and the opportunities for professional development within the company.
• Review your understanding of AI research and deployment principles, as well as your experience with relevant technologies, to be ready for in-depth technical discussions during the interview process.