Solutions Architect, Public Sector at OpenAI

Washington, District of Columbia, United States

OpenAI Logo
$198,000 – $252,000Compensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Public Sector, GovernmentIndustries

Requirements

  • 7+ years of technical consulting (or equivalent) experience with public sector customers (U.S. federal preferred), bridging technical teams and senior stakeholders
  • Successfully led GenAI or traditional ML implementations for government agencies in close collaboration with systems integrators and implementation partners
  • Understand network and cloud architecture, including experience with on-premise deployments
  • Effective and polished communicator who can translate business and technical topics to all audiences
  • Industry experience in programming languages like Python or Javascript
  • Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done
  • Humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed
  • Effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly

Responsibilities

  • Deeply embed with our most sophisticated public sector customers as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API
  • Work with senior customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap
  • Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance, often in collaboration with systems integrators and implementation partners
  • Forge and manage relationships with our customers’ and implementation partners’ leadership and stakeholders to ensure the successful deployment and scale of their applications
  • Contribute to our open-source developer and enterprise resources
  • Scale the Solutions Architect function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories
  • Validate, synthesize, and deliver high-signal feedback to the Product, Engineering, and Research teams

Skills

Key technologies and capabilities for this role

OpenAI APIGenerative AISolutions ArchitectureAPI IntegrationPrototypingProduction DeploymentAI StrategySystems IntegrationPublic SectorGovernment Agencies

Questions & Answers

Common questions about this position

What is the salary range for the Solutions Architect, Public Sector role?

The salary range is $198K - $252K.

Is this position remote or hybrid, and where is it based?

This is a hybrid role based in Washington, DC, with relocation support offered to new employees.

What experience and skills are required for this role?

Candidates need 7+ years of technical consulting experience with public sector customers (U.S. federal preferred), experience bridging technical teams and senior stakeholders, and a track record of leading GenAI or traditional ML implementations for government agencies.

What does the Solutions Architecture team do at OpenAI?

The team ensures the safe and effective deployment of Generative AI applications, acts as a trusted advisor for customers, builds GenAI use cases, and drives them to production through technical guidance, especially for public sector like government agencies.

What makes a strong candidate for this Solutions Architect position?

A strong candidate has 7+ years of technical consulting experience with public sector (federal preferred), success leading GenAI/ML implementations for government, and the ability to bridge technical teams with senior stakeholders while providing hands-on prototypes and strategic guidance.

OpenAI

Develops safe and beneficial AI technologies

About OpenAI

OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.

San Francisco, CaliforniaHeadquarters
2015Year Founded
$18,433.2MTotal Funding
LATE_VCCompany Stage
AI & Machine LearningIndustries
1,001-5,000Employees

Benefits

Health insurance
Dental and vision insurance
Flexible spending account for healthcare and dependent care
Mental healthcare service
Fertility treatment coverage
401(k) with generous matching
20-week paid parental leave
Life insurance (complimentary)
AD&D insurance (complimentary)
Short-term/long-term disability insurance (complimentary)
Optional buy-up life insurance
Flexible work hours and unlimited paid time off (we encourage 4+ weeks per year)
Annual learning & development stipend
Regular team happy hours and outings
Daily catered lunch and dinner
Travel to domestic conferences

Risks

Elon Musk's legal battle may pose financial and reputational challenges for OpenAI.
Customizable ChatGPT personas could lead to privacy and ethical concerns.
Competitors like Anthropic raising capital may intensify market competition.

Differentiation

OpenAI's capped profit model prioritizes ethical AI development over unlimited profit.
OpenAI's AI models, like Sora, offer unique video creation from text descriptions.
OpenAI's focus on AGI aims to create AI systems smarter than humans.

Upsides

OpenAI's $6.6 billion funding boosts its AI research and computational capacity.
Customizable ChatGPT personas enhance user engagement and satisfaction.
OpenAI's 'Operator' AI agent could revolutionize workforce automation by 2025.

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