Solutions Architect, Generative AI Deployment at OpenAI

New York, New York, United States

Apply Now

$220,000 – $280,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers
Strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike
Experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations
Hands-on proficiency in languages like Python, JavaScript, or similar, and comfortable building prototypes or proofs of concept
Take end-to-end ownership of challenges, proactively acquiring new skills or knowledge as needed to drive success
Bring a humble, collaborative mindset and an eagerness to support teammates and customers alike
Thrive in fast-paced environments, adeptly managing multiple workstreams and prioritizing for the highest customer impact

Responsibilities

Serve as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions
Engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in their roadmap
Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production
Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes
Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers
Share learnings and collaborate with internal teams to inform product development and improve customer outcomes
Codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types

Skills

Key technologies and capabilities for this role

Generative AISolutions ArchitectureOpenAI APIsChatGPTAI PrototypingEnterprise DeploymentAI RoadmapsCustomer Service AutomationContent Generation

Questions & Answers

Common questions about this position

What is the salary range for the Solutions Architect role?

The salary range is $220K - $280K.

Is this role remote or hybrid, and what's the office requirement?

This is a hybrid role based in the NYC office, requiring 3 days per week in the office, with relocation assistance offered for new employees.

What experience is required for this Solutions Architect position?

Candidates need 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers, plus strong communication skills to explain technical concepts.

What is the team like at OpenAI for this role?

The Solutions Architecture team ensures safe and effective deployment of Generative AI applications for developers and enterprises, acting as trusted advisors and technical partners to help customers build AI adoption strategies from prototype to production.

What makes a strong candidate for this Solutions Architect role?

A solutions-oriented technical leader with 5+ years of customer-facing experience in technical consulting or solutions architecture, strong communication skills, and the ability to engage senior stakeholders on GenAI roadmaps and deployments will thrive.

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