Solutions Architect, Digital Natives

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Relocation assistance

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Childcare support

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401(k) match

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Market context

Median wage (BLS OEWS)

$116,543 national median

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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About this role

Solutions Architect, Digital Natives San Francisco, California, United States Solutions Architect, Digital Natives (OpenAI OpCo, LLC; San Francisco, CA): 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. Telecommuting permitted from within the U.S. Minimum requirements: Bachelor's degree or foreign equivalent in Data Science, Computational Mathematics, or related field, plus five (5) years of experience as a Solutions Architect, Data Science Consultant, Software Engineer, or related occupation. Must have experience with the following: - Building GenAI prototypes, proofs of concept, and demos for large multinational corporations; - Python, JavaScript, TypeScript, Node.js, React, Github; - AI application development: RAG, evals, multi-agent systems, orchestration, and caching; - Deploying solutions on AWS, GCP, Azure, containers and Docker, and serverless; - Networking basics around bastions and VPCs; - Observability tooling: Datadog and Humio; and

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