OpenAI

1 month ago

AI Deployment Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Technical Solutions Engineer post-sales, guiding GenAI deployments for enterprise customers. Lead architecture design, prototyping, and production rollout of OpenAI-based solutions, collaborating with Sales, Engineering, and Product teams to maximise customer value and drive adoption across industries.

Location: Madrid

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key 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.
•Codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.

Key Requirements

•Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.
•Hands-on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept.
•Experience leading complex deployments of Generative AI or traditional machine learning systems, including infrastructure and network architecture considerations.
•Ability to communicate clearly to executive and practitioner audiences, translating technical concepts into business value.
•Take end-to-end ownership of challenges, proactively acquiring new skills as needed to drive success.

Experience:5+ years

Skills:CommunicationCollaborationProblem-solvingCustomer focusLeadership

Tech Stack:PythonJavaScriptOpenAI APIGenAIProduction deployments

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor

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OpenAI

1 month ago

AI Deployment Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Madrid

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key 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.
•Codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.

Key Requirements

•Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.
•Hands-on proficiency in languages like Python, JavaScript, or similar, and are comfortable building prototypes or proofs of concept.
•Experience leading complex deployments of Generative AI or traditional machine learning systems, including infrastructure and network architecture considerations.
•Ability to communicate clearly to executive and practitioner audiences, translating technical concepts into business value.
•Take end-to-end ownership of challenges, proactively acquiring new skills as needed to drive success.

Experience:5+ years

Skills:CommunicationCollaborationProblem-solvingCustomer focusLeadership

Tech Stack:PythonJavaScriptOpenAI APIGenAIProduction deployments

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor