AI Deployment Engineer Careers at OpenAI - San Francisco, California | Apply Now!
OpenAI
AI Deployment Engineer Careers at OpenAI - San Francisco, California | Apply Now!
Job Description
AI Deployment Engineer at OpenAI - San Francisco, CA | Transform Businesses with Generative AI
Role Overview
Join OpenAI's AI Deployment Engineering team as an AI Deployment Engineer in San Francisco, California. This senior-level role is perfect for technical leaders passionate about helping enterprises unlock the power of Generative AI. You'll partner post-sale with customers across industries to deploy transformative applications like customer service automation, content generation, and innovative AI-powered products using OpenAI's advanced models, ChatGPT, and APIs.
Based in our vibrant San Francisco office with a hybrid model (3 days/week onsite), you'll act as a trusted advisor, crafting GenAI roadmaps, prioritizing high-impact use cases, and guiding projects from prototype to production. Collaborate with Sales, Solutions Engineering, Applied Research, and Product teams while reporting to the Head of Solutions Architecture. If you have 5+ years in technical consulting or solutions architecture, this is your chance to drive real business value at the forefront of AI innovation.
OpenAI is reshaping the world through safe, effective AI deployment. As an AI Deployment Engineer, you'll embed with customer teams, provide hands-on guidance, and scale best practices—accelerating adoption and expansion. Relocation assistance is available for top talent ready to make an impact.
Key Responsibilities
In this dynamic role, you'll wear many hats, from strategist to hands-on builder. Here's what your day-to-day looks like:
- Serve as the primary technical subject matter expert post-sale, deeply embedding with customers to design and deploy GenAI solutions tailored to their needs.
- Engage senior stakeholders to identify, prioritize, and validate the highest-value Generative AI applications for their business roadmaps.
- Accelerate time-to-value by architecting solutions, building prototypes, and advising on production scaling best practices.
- Leverage ChatGPT, OpenAI APIs, and our ecosystem to create holistic integrations within customer architectures.
- Maintain executive relationships to drive adoption, expansion, and measurable outcomes.
- Contribute to open-source projects and enterprise documentation, scaling knowledge across the AI community.
- Share actionable insights from customer deployments to influence OpenAI's product roadmap.
- Codify success patterns to empower the Solutions Architecture team in serving diverse industries.
- Collaborate cross-functionally to refine tools and processes for enterprise AI success.
- Guide complex projects end-to-end, from ideation to live production environments.
- Proactively tackle infrastructure, networking, and scalability challenges in AI deployments.
- Stay ahead of AI trends, continuously upskilling to deliver cutting-edge guidance.
- Operationalize technical playbooks for repeatable, high-impact customer wins.
Expect a fast-paced environment where ownership and collaboration thrive. Your work will directly contribute to OpenAI's mission of ensuring safe, effective AI for all.
Qualifications
To excel as an AI Deployment Engineer at OpenAI, bring these qualifications:
- 5+ years in technical consulting, post-sales engineering, solutions architecture, or customer-facing roles.
- Proven experience deploying Generative AI or ML systems at scale, including infra considerations.
- Hands-on coding in Python, JavaScript, or equivalents; prototype-building expertise.
- Exceptional communication: Translate complex AI concepts for executives and engineers alike.
- End-to-end ownership mindset—proactively learn and solve in ambiguous settings.
- Collaborative spirit with humility, supporting teams and customers.
- Thrives managing multiple priorities in high-velocity environments.
- Familiarity with OpenAI APIs, ChatGPT, cloud platforms (AWS, GCP, Azure).
- Bonus: Industry-specific AI use cases (e.g., finance, healthcare, retail).
- BS/MS in CS, Engineering, or related; AI/ML certifications a plus.
Salary & Benefits
OpenAI offers competitive compensation for AI Deployment Engineers in San Francisco, estimated at $220,000–$320,000 USD yearly (base + equity + bonuses), reflecting seniority and experience. Total rewards include:
- Performance-based bonuses and equity in a unicorn AI leader.
- Top-tier health, dental, vision coverage.
- 401(k) with generous matching.
- Unlimited PTO and wellness stipends.
- Hybrid SF model + relocation support.
- Parental leave, fitness perks, learning budgets.
- Catered meals, mental health resources.
This package positions you for financial and professional growth in AI.
Why Join OpenAI?
OpenAI is the pioneer in safe AGI development. As an AI Deployment Engineer, you'll shape enterprise AI adoption at scale. Work with world-class teams on bleeding-edge tech, influence products used by millions, and enjoy SF's innovation hub. Our culture emphasizes impact, collaboration, and bold thinking—join us to build the future.
Perks like equity, hybrid flexibility, and mission-driven work make OpenAI exceptional. Past engineers have launched industry-defining AI apps; your contributions will too.
How to Apply
Ready to deploy AI that changes the world? Submit your resume, LinkedIn, and a note on your favorite GenAI project. OpenAI hires top talent—highlight customer impact and technical depth. We review applications weekly; SF-based candidates prioritized. Equal opportunity employer.
Locations
- San Francisco, California, United States
Salary
231,000 - 352,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Generative AIintermediate
- Solutions Architectureintermediate
- Python Programmingintermediate
- JavaScript Developmentintermediate
- Machine Learning Deploymentintermediate
- Customer Success Engineeringintermediate
- Technical Consultingintermediate
- Prototype Developmentintermediate
- API Integrationintermediate
- Cloud Infrastructureintermediate
- DevOps Practicesintermediate
- Stakeholder Communicationintermediate
- AI Roadmap Planningintermediate
- Production Scalingintermediate
- OpenAI APIsintermediate
- ChatGPT Implementationintermediate
- Enterprise AI Solutionsintermediate
- Cross-Functional Collaborationintermediate
- Technical Documentationintermediate
- Business Value Realizationintermediate
Required Qualifications
- 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar customer-facing experience (experience)
- Strong communication skills to explain technical and business concepts to executives and practitioners (experience)
- Experience leading complex deployments of Generative AI or traditional ML systems (experience)
- Hands-on proficiency in Python, JavaScript, or similar programming languages (experience)
- Comfortable building prototypes and proofs of concept (experience)
- Knowledge of infrastructure and network architecture considerations (experience)
- Proven ability to take end-to-end ownership of technical challenges (experience)
- Eagerness to proactively acquire new skills and knowledge (experience)
- Humble, collaborative mindset with strong team and customer support orientation (experience)
- Thrives in fast-paced, ambiguous environments managing multiple priorities (experience)
- Experience with enterprise-grade production deployments (experience)
- Familiarity with OpenAI APIs, ChatGPT, or similar AI ecosystems preferred (experience)
- Bachelor's degree in Computer Science, Engineering, or related field (experience)
Responsibilities
- Serve as primary technical SME post-sale for customer portfolio, embedding deeply to design GenAI solutions
- Engage senior business and technical stakeholders to identify and prioritize high-value GenAI applications
- Validate GenAI use cases through prototyping and architectural guidance
- Accelerate customer time-to-value with hands-on prototypes and scaling best practices
- Provide architectural guidance on leveraging ChatGPT, OpenAI APIs, and ecosystem tools
- Maintain strong relationships with customer leadership to drive adoption and expansion
- Contribute to open-source resources and enterprise technical documentation
- Share customer learnings with internal teams to inform product development
- Codify knowledge and operationalize success practices for team scalability
- Collaborate cross-functionally with Sales, Solutions Engineering, Applied Research, and Product teams
- Develop customer-specific GenAI roadmaps and strategies
- Guide projects from early prototyping to enterprise-grade production deployments
- Analyze customer architecture and operations for holistic AI integration
- Report progress and insights to Head of Solutions Architecture
Benefits
- general: Competitive base salary with performance bonuses
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching program
- general: Unlimited PTO with encouraged recharge time
- general: Hybrid work model (3 days/week in SF office)
- general: Relocation assistance for new employees
- general: Generous parental leave policy
- general: Fitness and wellness stipends
- general: Learning and development budget
- general: Stock options in a high-growth AI company
- general: Catered meals and office perks in SF
- general: Mental health support resources
- general: Volunteer time off program
- general: Cutting-edge AI technology access
- general: Collaborative, innovative team environment
Tags & Categories
Answer 10 quick questions to check your fit for AI Deployment Engineer Careers at OpenAI - San Francisco, California | Apply Now! @ OpenAI.
Related Books and Jobs
AI Deployment Engineer Careers at OpenAI - San Francisco, California | Apply Now!
OpenAI
AI Deployment Engineer Careers at OpenAI - San Francisco, California | Apply Now!
Job Description
AI Deployment Engineer at OpenAI - San Francisco, CA | Transform Businesses with Generative AI
Role Overview
Join OpenAI's AI Deployment Engineering team as an AI Deployment Engineer in San Francisco, California. This senior-level role is perfect for technical leaders passionate about helping enterprises unlock the power of Generative AI. You'll partner post-sale with customers across industries to deploy transformative applications like customer service automation, content generation, and innovative AI-powered products using OpenAI's advanced models, ChatGPT, and APIs.
Based in our vibrant San Francisco office with a hybrid model (3 days/week onsite), you'll act as a trusted advisor, crafting GenAI roadmaps, prioritizing high-impact use cases, and guiding projects from prototype to production. Collaborate with Sales, Solutions Engineering, Applied Research, and Product teams while reporting to the Head of Solutions Architecture. If you have 5+ years in technical consulting or solutions architecture, this is your chance to drive real business value at the forefront of AI innovation.
OpenAI is reshaping the world through safe, effective AI deployment. As an AI Deployment Engineer, you'll embed with customer teams, provide hands-on guidance, and scale best practices—accelerating adoption and expansion. Relocation assistance is available for top talent ready to make an impact.
Key Responsibilities
In this dynamic role, you'll wear many hats, from strategist to hands-on builder. Here's what your day-to-day looks like:
- Serve as the primary technical subject matter expert post-sale, deeply embedding with customers to design and deploy GenAI solutions tailored to their needs.
- Engage senior stakeholders to identify, prioritize, and validate the highest-value Generative AI applications for their business roadmaps.
- Accelerate time-to-value by architecting solutions, building prototypes, and advising on production scaling best practices.
- Leverage ChatGPT, OpenAI APIs, and our ecosystem to create holistic integrations within customer architectures.
- Maintain executive relationships to drive adoption, expansion, and measurable outcomes.
- Contribute to open-source projects and enterprise documentation, scaling knowledge across the AI community.
- Share actionable insights from customer deployments to influence OpenAI's product roadmap.
- Codify success patterns to empower the Solutions Architecture team in serving diverse industries.
- Collaborate cross-functionally to refine tools and processes for enterprise AI success.
- Guide complex projects end-to-end, from ideation to live production environments.
- Proactively tackle infrastructure, networking, and scalability challenges in AI deployments.
- Stay ahead of AI trends, continuously upskilling to deliver cutting-edge guidance.
- Operationalize technical playbooks for repeatable, high-impact customer wins.
Expect a fast-paced environment where ownership and collaboration thrive. Your work will directly contribute to OpenAI's mission of ensuring safe, effective AI for all.
Qualifications
To excel as an AI Deployment Engineer at OpenAI, bring these qualifications:
- 5+ years in technical consulting, post-sales engineering, solutions architecture, or customer-facing roles.
- Proven experience deploying Generative AI or ML systems at scale, including infra considerations.
- Hands-on coding in Python, JavaScript, or equivalents; prototype-building expertise.
- Exceptional communication: Translate complex AI concepts for executives and engineers alike.
- End-to-end ownership mindset—proactively learn and solve in ambiguous settings.
- Collaborative spirit with humility, supporting teams and customers.
- Thrives managing multiple priorities in high-velocity environments.
- Familiarity with OpenAI APIs, ChatGPT, cloud platforms (AWS, GCP, Azure).
- Bonus: Industry-specific AI use cases (e.g., finance, healthcare, retail).
- BS/MS in CS, Engineering, or related; AI/ML certifications a plus.
Salary & Benefits
OpenAI offers competitive compensation for AI Deployment Engineers in San Francisco, estimated at $220,000–$320,000 USD yearly (base + equity + bonuses), reflecting seniority and experience. Total rewards include:
- Performance-based bonuses and equity in a unicorn AI leader.
- Top-tier health, dental, vision coverage.
- 401(k) with generous matching.
- Unlimited PTO and wellness stipends.
- Hybrid SF model + relocation support.
- Parental leave, fitness perks, learning budgets.
- Catered meals, mental health resources.
This package positions you for financial and professional growth in AI.
Why Join OpenAI?
OpenAI is the pioneer in safe AGI development. As an AI Deployment Engineer, you'll shape enterprise AI adoption at scale. Work with world-class teams on bleeding-edge tech, influence products used by millions, and enjoy SF's innovation hub. Our culture emphasizes impact, collaboration, and bold thinking—join us to build the future.
Perks like equity, hybrid flexibility, and mission-driven work make OpenAI exceptional. Past engineers have launched industry-defining AI apps; your contributions will too.
How to Apply
Ready to deploy AI that changes the world? Submit your resume, LinkedIn, and a note on your favorite GenAI project. OpenAI hires top talent—highlight customer impact and technical depth. We review applications weekly; SF-based candidates prioritized. Equal opportunity employer.
Locations
- San Francisco, California, United States
Salary
231,000 - 352,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Generative AIintermediate
- Solutions Architectureintermediate
- Python Programmingintermediate
- JavaScript Developmentintermediate
- Machine Learning Deploymentintermediate
- Customer Success Engineeringintermediate
- Technical Consultingintermediate
- Prototype Developmentintermediate
- API Integrationintermediate
- Cloud Infrastructureintermediate
- DevOps Practicesintermediate
- Stakeholder Communicationintermediate
- AI Roadmap Planningintermediate
- Production Scalingintermediate
- OpenAI APIsintermediate
- ChatGPT Implementationintermediate
- Enterprise AI Solutionsintermediate
- Cross-Functional Collaborationintermediate
- Technical Documentationintermediate
- Business Value Realizationintermediate
Required Qualifications
- 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar customer-facing experience (experience)
- Strong communication skills to explain technical and business concepts to executives and practitioners (experience)
- Experience leading complex deployments of Generative AI or traditional ML systems (experience)
- Hands-on proficiency in Python, JavaScript, or similar programming languages (experience)
- Comfortable building prototypes and proofs of concept (experience)
- Knowledge of infrastructure and network architecture considerations (experience)
- Proven ability to take end-to-end ownership of technical challenges (experience)
- Eagerness to proactively acquire new skills and knowledge (experience)
- Humble, collaborative mindset with strong team and customer support orientation (experience)
- Thrives in fast-paced, ambiguous environments managing multiple priorities (experience)
- Experience with enterprise-grade production deployments (experience)
- Familiarity with OpenAI APIs, ChatGPT, or similar AI ecosystems preferred (experience)
- Bachelor's degree in Computer Science, Engineering, or related field (experience)
Responsibilities
- Serve as primary technical SME post-sale for customer portfolio, embedding deeply to design GenAI solutions
- Engage senior business and technical stakeholders to identify and prioritize high-value GenAI applications
- Validate GenAI use cases through prototyping and architectural guidance
- Accelerate customer time-to-value with hands-on prototypes and scaling best practices
- Provide architectural guidance on leveraging ChatGPT, OpenAI APIs, and ecosystem tools
- Maintain strong relationships with customer leadership to drive adoption and expansion
- Contribute to open-source resources and enterprise technical documentation
- Share customer learnings with internal teams to inform product development
- Codify knowledge and operationalize success practices for team scalability
- Collaborate cross-functionally with Sales, Solutions Engineering, Applied Research, and Product teams
- Develop customer-specific GenAI roadmaps and strategies
- Guide projects from early prototyping to enterprise-grade production deployments
- Analyze customer architecture and operations for holistic AI integration
- Report progress and insights to Head of Solutions Architecture
Benefits
- general: Competitive base salary with performance bonuses
- general: Comprehensive health, dental, and vision insurance
- general: 401(k) matching program
- general: Unlimited PTO with encouraged recharge time
- general: Hybrid work model (3 days/week in SF office)
- general: Relocation assistance for new employees
- general: Generous parental leave policy
- general: Fitness and wellness stipends
- general: Learning and development budget
- general: Stock options in a high-growth AI company
- general: Catered meals and office perks in SF
- general: Mental health support resources
- general: Volunteer time off program
- general: Cutting-edge AI technology access
- general: Collaborative, innovative team environment
Tags & Categories
Answer 10 quick questions to check your fit for AI Deployment Engineer Careers at OpenAI - San Francisco, California | Apply Now! @ OpenAI.
Related Books and Jobs