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Forward Deployed Engineer (FDE) Careers at OpenAI - San Francisco, CA | Apply Now!

OpenAI

Forward Deployed Engineer (FDE) Careers at OpenAI - San Francisco, CA | Apply Now!

full-timePosted: Feb 10, 2026

Job Description

Forward Deployed Engineer (FDE) at OpenAI - San Francisco, CA

Join OpenAI's elite Forward Deployed Engineering team and become a key player in deploying frontier AI models to the world's most strategic customers. This senior-level role offers unparalleled impact at the intersection of cutting-edge research and real-world production systems.

Role Overview

OpenAI's Forward Deployed Engineers (FDEs) are mission-critical specialists who bridge the gap between groundbreaking AI research and enterprise-scale production deployments. Based in San Francisco, you'll lead end-to-end implementations of large language models (LLMs) and generative AI systems for OpenAI's most important customers.

In this high-impact role, you'll own the full lifecycle of complex deployments—from initial discovery and technical scoping through system design, development, and production rollout. Success is measured by production adoption rates, measurable workflow improvements for customers, and evaluation-driven feedback that directly influences OpenAI's product and model roadmaps.

Working in a hybrid model (3 days/week in our San Francisco office), you'll collaborate closely with Product, Research, Partnerships, GRC, Security, and GTM teams. Expect up to 50% travel to customer sites, with full relocation assistance provided for exceptional candidates.

This isn't just engineering—it's strategic partnership at the forefront of artificial intelligence. FDEs at OpenAI shape how frontier models transform industries and drive humanity's progress toward safe AGI.

Key Responsibilities

As a Forward Deployed Engineer, your impact will span technical leadership, customer partnership, and cross-functional collaboration:

  • Lead technical delivery for multiple high-stakes deployments, owning everything from first prototype to stable production systems
  • Design and build full-stack solutions that deliver immediate customer value while capturing insights to improve OpenAI's core platform
  • Embed directly with customer engineering and domain teams to deeply understand workflows and guide successful adoption
  • Conduct thorough discovery sessions, technical scoping, and create detailed system architectures tailored to customer needs
  • Sequence delivery milestones strategically while proactively removing blockers and managing dependencies
  • Make critical trade-offs between scope, speed, and quality to ensure on-time delivery of mission-critical systems
  • Write production-grade code across frontend (JavaScript/React) and backend (Python/FastAPI) when hands-on contribution accelerates progress
  • Distill field learnings into reusable tools, deployment playbooks, and architectural building blocks that scale across the FDE team
  • Deliver actionable feedback loops to Research and Product teams, directly influencing model training priorities and product roadmaps
  • Maintain relentless execution through crystal-clear communication and unwavering follow-through
  • Partner cross-functionally with OpenAI's world-class teams including Platform Engineering, Applied AI, and Customer Success
  • Drive measurable outcomes through production adoption metrics, workflow efficiency gains, and rigorous evaluation frameworks

Qualifications

We're seeking battle-tested engineers who thrive in ambiguity and deliver results under pressure:

  • 5+ years of software engineering or technical deployment experience, with significant customer-facing responsibility
  • Demonstrated success scoping, designing, and delivering complex distributed systems in fast-paced environments
  • Production-grade coding expertise across full-stack technologies (Python, JavaScript/TypeScript, React, FastAPI, cloud infrastructure)
  • Hands-on experience building or deploying LLM-powered applications and deep understanding of model behavior in production
  • Proven ability to simplify complex technical problems and make high-quality decisions rapidly
  • Exceptional communication skills—able to align engineers, PMs, executives, and customer stakeholders
  • Strong risk radar with experience proactively mitigating issues without sacrificing velocity
  • Cool-headed judgment and calm execution when stakes are highest

Bonus Points: Experience with enterprise AI deployments, vector databases, RAG architectures, evaluation frameworks, or working at AI/ML-focused companies.

Salary & Benefits

Compensation: $280,000 - $450,000 base salary + equity + bonus (total compensation depends on experience and location)

  • Comprehensive health, dental, vision insurance
  • 401(k) with generous matching
  • Unlimited PTO with wellness days
  • 16 weeks paid parental leave
  • Full relocation to San Francisco
  • Professional development budget
  • Daily catered meals and snacks
  • Gym membership reimbursement
  • Mental health benefits

Why Join OpenAI?

OpenAI isn't just building AI—we're creating the future of human potential. As a Forward Deployed Engineer, you'll:

  • Work directly with the models powering ChatGPT, DALL-E, and future frontier systems
  • Partner with Fortune 500 enterprises transforming their core operations with AI
  • Shape OpenAI's deployment platform used by thousands of developers worldwide
  • Contribute to humanity's most important technical challenge: safe AGI
  • Join 1,000+ world-class researchers, engineers, and operators in San Francisco

OpenAI offers equal opportunity employment and is committed to diversity. We value different perspectives that form humanity's full spectrum.

How to Apply

Ready to deploy the future? Submit your resume, GitHub/portfolio, and a brief note about your most impactful customer-facing deployment. We're moving fast—top candidates interview within one week.

Locations: San Francisco, CA (hybrid) | Travel: Up to 50% | Visa sponsorship: Available for exceptional candidates

Apply Now and join the team building tomorrow's intelligence today.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangehigh confidence

294,000 - 495,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Python Programmingintermediate
  • JavaScript Developmentintermediate
  • Full-Stack Engineeringintermediate
  • LLM Deploymentintermediate
  • Generative AI Systemsintermediate
  • System Designintermediate
  • Customer-Facing Engineeringintermediate
  • Production Deploymentintermediate
  • Technical Scopingintermediate
  • Risk Managementintermediate
  • Stakeholder Communicationintermediate
  • Frontend Developmentintermediate
  • Backend Engineeringintermediate
  • AI Model Integrationintermediate
  • DevOps Practicesintermediate
  • Agile Methodologiesintermediate
  • Prototype Developmentintermediate
  • Eval-Driven Feedbackintermediate

Required Qualifications

  • 5+ years of engineering or technical deployment experience including customer-facing work (experience)
  • Proven experience scoping and delivering complex systems in fast-moving or ambiguous environments (experience)
  • Ability to write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks (experience)
  • Hands-on experience building or deploying systems powered by LLMs or generative models (experience)
  • Deep understanding of how model behavior affects product experience (experience)
  • Strong ability to simplify complexity and make fast, sound decisions under pressure (experience)
  • Excellent communication skills with engineers, product teams, and customer stakeholders (experience)
  • Proven track record of spotting risks early and adjusting plans without slowing down (experience)
  • Demonstrated calm and judgment in high-stakes situations (experience)
  • Experience with end-to-end deployments from prototype to production (experience)
  • Familiarity with hybrid work models and willingness to travel up to 50% (experience)
  • Bachelor's degree in Computer Science, Engineering, or related field (advanced degrees preferred) (experience)

Responsibilities

  • Own technical delivery across multiple deployments from first prototype to stable production
  • Build full-stack systems that deliver measurable customer value and improve learning processes
  • Embed closely with customer engineering teams to understand needs and guide adoption
  • Scope work effectively, sequence delivery milestones, and remove blockers early
  • Make strategic trade-offs between scope, speed, and quality to protect delivery timelines
  • Contribute directly to code when progress or clarity depends on hands-on implementation
  • Codify working patterns into reusable tools, playbooks, or building blocks for team scalability
  • Share field feedback with Research and Product teams to influence model and product roadmaps
  • Maintain team momentum through clear communication and consistent follow-through
  • Partner with Product, Research, Partnerships, GRC, Security, and GTM teams cross-functionally
  • Design and rollout production systems for frontier AI models with strategic customers
  • Measure success through production adoption, workflow impact, and evaluation-driven insights
  • Conduct discovery and technical scoping sessions with customer domain experts

Benefits

  • general: Competitive salary with equity package and performance bonuses
  • general: Comprehensive medical, dental, and vision insurance coverage
  • general: 401(k) retirement plan with generous company matching
  • general: Unlimited PTO policy with encouraged time off
  • general: Hybrid work model (3 days in office per week in SF)
  • general: Full relocation assistance for moves to San Francisco
  • general: Up to 50% travel covered including accommodations and expenses
  • general: Professional development stipend for conferences and courses
  • general: Mental health and wellness program benefits
  • general: Parental leave policy (16 weeks fully paid)
  • general: Gym membership reimbursement and wellness allowances
  • general: Catered meals and snacks in the office daily
  • general: Cutting-edge AI research access and collaboration opportunities
  • general: Impactful work shaping the future of artificial intelligence

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Forward Deployed Engineer (FDE) Careers at OpenAI - San Francisco, CA | Apply Now!

OpenAI

Forward Deployed Engineer (FDE) Careers at OpenAI - San Francisco, CA | Apply Now!

full-timePosted: Feb 10, 2026

Job Description

Forward Deployed Engineer (FDE) at OpenAI - San Francisco, CA

Join OpenAI's elite Forward Deployed Engineering team and become a key player in deploying frontier AI models to the world's most strategic customers. This senior-level role offers unparalleled impact at the intersection of cutting-edge research and real-world production systems.

Role Overview

OpenAI's Forward Deployed Engineers (FDEs) are mission-critical specialists who bridge the gap between groundbreaking AI research and enterprise-scale production deployments. Based in San Francisco, you'll lead end-to-end implementations of large language models (LLMs) and generative AI systems for OpenAI's most important customers.

In this high-impact role, you'll own the full lifecycle of complex deployments—from initial discovery and technical scoping through system design, development, and production rollout. Success is measured by production adoption rates, measurable workflow improvements for customers, and evaluation-driven feedback that directly influences OpenAI's product and model roadmaps.

Working in a hybrid model (3 days/week in our San Francisco office), you'll collaborate closely with Product, Research, Partnerships, GRC, Security, and GTM teams. Expect up to 50% travel to customer sites, with full relocation assistance provided for exceptional candidates.

This isn't just engineering—it's strategic partnership at the forefront of artificial intelligence. FDEs at OpenAI shape how frontier models transform industries and drive humanity's progress toward safe AGI.

Key Responsibilities

As a Forward Deployed Engineer, your impact will span technical leadership, customer partnership, and cross-functional collaboration:

  • Lead technical delivery for multiple high-stakes deployments, owning everything from first prototype to stable production systems
  • Design and build full-stack solutions that deliver immediate customer value while capturing insights to improve OpenAI's core platform
  • Embed directly with customer engineering and domain teams to deeply understand workflows and guide successful adoption
  • Conduct thorough discovery sessions, technical scoping, and create detailed system architectures tailored to customer needs
  • Sequence delivery milestones strategically while proactively removing blockers and managing dependencies
  • Make critical trade-offs between scope, speed, and quality to ensure on-time delivery of mission-critical systems
  • Write production-grade code across frontend (JavaScript/React) and backend (Python/FastAPI) when hands-on contribution accelerates progress
  • Distill field learnings into reusable tools, deployment playbooks, and architectural building blocks that scale across the FDE team
  • Deliver actionable feedback loops to Research and Product teams, directly influencing model training priorities and product roadmaps
  • Maintain relentless execution through crystal-clear communication and unwavering follow-through
  • Partner cross-functionally with OpenAI's world-class teams including Platform Engineering, Applied AI, and Customer Success
  • Drive measurable outcomes through production adoption metrics, workflow efficiency gains, and rigorous evaluation frameworks

Qualifications

We're seeking battle-tested engineers who thrive in ambiguity and deliver results under pressure:

  • 5+ years of software engineering or technical deployment experience, with significant customer-facing responsibility
  • Demonstrated success scoping, designing, and delivering complex distributed systems in fast-paced environments
  • Production-grade coding expertise across full-stack technologies (Python, JavaScript/TypeScript, React, FastAPI, cloud infrastructure)
  • Hands-on experience building or deploying LLM-powered applications and deep understanding of model behavior in production
  • Proven ability to simplify complex technical problems and make high-quality decisions rapidly
  • Exceptional communication skills—able to align engineers, PMs, executives, and customer stakeholders
  • Strong risk radar with experience proactively mitigating issues without sacrificing velocity
  • Cool-headed judgment and calm execution when stakes are highest

Bonus Points: Experience with enterprise AI deployments, vector databases, RAG architectures, evaluation frameworks, or working at AI/ML-focused companies.

Salary & Benefits

Compensation: $280,000 - $450,000 base salary + equity + bonus (total compensation depends on experience and location)

  • Comprehensive health, dental, vision insurance
  • 401(k) with generous matching
  • Unlimited PTO with wellness days
  • 16 weeks paid parental leave
  • Full relocation to San Francisco
  • Professional development budget
  • Daily catered meals and snacks
  • Gym membership reimbursement
  • Mental health benefits

Why Join OpenAI?

OpenAI isn't just building AI—we're creating the future of human potential. As a Forward Deployed Engineer, you'll:

  • Work directly with the models powering ChatGPT, DALL-E, and future frontier systems
  • Partner with Fortune 500 enterprises transforming their core operations with AI
  • Shape OpenAI's deployment platform used by thousands of developers worldwide
  • Contribute to humanity's most important technical challenge: safe AGI
  • Join 1,000+ world-class researchers, engineers, and operators in San Francisco

OpenAI offers equal opportunity employment and is committed to diversity. We value different perspectives that form humanity's full spectrum.

How to Apply

Ready to deploy the future? Submit your resume, GitHub/portfolio, and a brief note about your most impactful customer-facing deployment. We're moving fast—top candidates interview within one week.

Locations: San Francisco, CA (hybrid) | Travel: Up to 50% | Visa sponsorship: Available for exceptional candidates

Apply Now and join the team building tomorrow's intelligence today.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangehigh confidence

294,000 - 495,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Python Programmingintermediate
  • JavaScript Developmentintermediate
  • Full-Stack Engineeringintermediate
  • LLM Deploymentintermediate
  • Generative AI Systemsintermediate
  • System Designintermediate
  • Customer-Facing Engineeringintermediate
  • Production Deploymentintermediate
  • Technical Scopingintermediate
  • Risk Managementintermediate
  • Stakeholder Communicationintermediate
  • Frontend Developmentintermediate
  • Backend Engineeringintermediate
  • AI Model Integrationintermediate
  • DevOps Practicesintermediate
  • Agile Methodologiesintermediate
  • Prototype Developmentintermediate
  • Eval-Driven Feedbackintermediate

Required Qualifications

  • 5+ years of engineering or technical deployment experience including customer-facing work (experience)
  • Proven experience scoping and delivering complex systems in fast-moving or ambiguous environments (experience)
  • Ability to write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks (experience)
  • Hands-on experience building or deploying systems powered by LLMs or generative models (experience)
  • Deep understanding of how model behavior affects product experience (experience)
  • Strong ability to simplify complexity and make fast, sound decisions under pressure (experience)
  • Excellent communication skills with engineers, product teams, and customer stakeholders (experience)
  • Proven track record of spotting risks early and adjusting plans without slowing down (experience)
  • Demonstrated calm and judgment in high-stakes situations (experience)
  • Experience with end-to-end deployments from prototype to production (experience)
  • Familiarity with hybrid work models and willingness to travel up to 50% (experience)
  • Bachelor's degree in Computer Science, Engineering, or related field (advanced degrees preferred) (experience)

Responsibilities

  • Own technical delivery across multiple deployments from first prototype to stable production
  • Build full-stack systems that deliver measurable customer value and improve learning processes
  • Embed closely with customer engineering teams to understand needs and guide adoption
  • Scope work effectively, sequence delivery milestones, and remove blockers early
  • Make strategic trade-offs between scope, speed, and quality to protect delivery timelines
  • Contribute directly to code when progress or clarity depends on hands-on implementation
  • Codify working patterns into reusable tools, playbooks, or building blocks for team scalability
  • Share field feedback with Research and Product teams to influence model and product roadmaps
  • Maintain team momentum through clear communication and consistent follow-through
  • Partner with Product, Research, Partnerships, GRC, Security, and GTM teams cross-functionally
  • Design and rollout production systems for frontier AI models with strategic customers
  • Measure success through production adoption, workflow impact, and evaluation-driven insights
  • Conduct discovery and technical scoping sessions with customer domain experts

Benefits

  • general: Competitive salary with equity package and performance bonuses
  • general: Comprehensive medical, dental, and vision insurance coverage
  • general: 401(k) retirement plan with generous company matching
  • general: Unlimited PTO policy with encouraged time off
  • general: Hybrid work model (3 days in office per week in SF)
  • general: Full relocation assistance for moves to San Francisco
  • general: Up to 50% travel covered including accommodations and expenses
  • general: Professional development stipend for conferences and courses
  • general: Mental health and wellness program benefits
  • general: Parental leave policy (16 weeks fully paid)
  • general: Gym membership reimbursement and wellness allowances
  • general: Catered meals and snacks in the office daily
  • general: Cutting-edge AI research access and collaboration opportunities
  • general: Impactful work shaping the future of artificial intelligence

Target Your Resume for "Forward Deployed Engineer (FDE) Careers at OpenAI - San Francisco, CA | Apply Now!" , OpenAI

Get personalized recommendations to optimize your resume specifically for Forward Deployed Engineer (FDE) Careers at OpenAI - San Francisco, CA | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Forward Deployed Engineer (FDE) Careers at OpenAI - San Francisco, CA | Apply Now!" , OpenAI

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Forward Deployed Engineer OpenAIFDE jobs San FranciscoOpenAI engineering careersAI deployment engineerLLM production deploymentGenerative AI engineer jobsSan Francisco AI jobsOpenAI FDE salaryCustomer facing AI engineerFrontier model deploymentPython JavaScript AI engineerEnterprise AI deployment jobsOpenAI San Francisco careersAI systems engineer OpenAIProduction AI deploymentHybrid AI engineering jobs SFRelocation AI engineer jobsStrategic customer AI deploymentOpenAI research deploymentFull stack AI deployment engineerHigh impact AI engineering rolesModel Deployment for Business

Answer 10 quick questions to check your fit for Forward Deployed Engineer (FDE) Careers at OpenAI - San Francisco, CA | Apply Now! @ OpenAI.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.