Forward Deployed Engineer - Stockholm

OpenAI

Stockholms kommun

Hybrid

SEK 600,000 - 900,000

Full time

14 days+
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Benefits offered by this job

Relocation assistance
Hybrid work model (3 days in office)
Travel up to 50% required

Job summary

OpenAI is looking for a Forward Deployed Engineer in Stockholm to lead deployments of frontier models alongside strategic customers. The role involves owning technical delivery, building full-stack systems, and working closely with customer teams. With a hybrid work model and potential travel, this position aims at turning research innovations into production systems.

The ideal candidate will have over 5 years of relevant experience, a strong engineering background, and expertise in customer-focused deployment.

Qualifications

  • 5+ years of engineering or technical deployment experience.
  • Experience in fast-moving or ambiguous environments.
  • Ability to write and review production-grade code.

Responsibilities

  • Own technical delivery across multiple deployments.
  • Build full-stack systems for customer value.
  • Embed with customer teams to understand their needs.

Skills

Engineering or technical deployment experience
Production-grade code in Python or JavaScript
Customer-facing work experience
Experience with LLMs or generative models
Communication with engineers and product teams

Job description

Forward Deployed Engineer – Stockholm, Sweden

About the team

OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.

About the role

Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.

You will measure success through production adoption, measurable workflow impact, and eval‑driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.

This role is based in Stockholm. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.

In this role you will
  • Own technical delivery across multiple deployments from first prototype to stable production
  • Build full‑stack systems that deliver customer value and sharpen how we learn
  • Embed closely with customer teams, understand their needs, and guide adoption of what you build
  • Scope work, sequence delivery, and remove blockers earlyMake trade‑offs between scope, speed, and quality; adjust plans to protect delivery
  • Contribute directly in 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 understand where the models succeed and where they can improve
  • Keep teams moving through clarity and follow‑through
You might thrive in this role if you
  • Bring 5+ years of engineering or technical deployment experience that includes customer‑facing work
  • Have scoped and delivered complex systems in fast‑moving or ambiguous environments
  • Write and review production‑grade code across frontend and backend using Python, JavaScript, or comparable stacks
  • Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience
  • Simplify complexity and make fast, sound decisions under pressure
  • Communicate clearly with engineers, product teams, and customer stakeholders
  • Spot risks early and adjust without slowing down
  • Model calm and judgment when the stakes are high

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US‑based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non‑public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

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