{"schemaVersion":"jobsearcher.job.v1","id":"ea56ceae033dbcc77cf598f6","url":"https://jobsearcher.com/jobs/ea56ceae033dbcc77cf598f6","canonicalUrl":"https://jobsearcher.com/jobs/ea56ceae033dbcc77cf598f6","title":"Partner Applied AI Engineer, Google Cloud","description":"Technical Success - San Francisco\n\nAbout the team\n\nThe Applied AI Engineering team helps developers and enterprises deploy generative AI safely and effectively. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems.\n\nAs a Partner Applied AI Engineer focused on Google Cloud, you will help customers build with OpenAI in the cloud environment they already use. You will work with Google Cloud and its partner ecosystem to turn early implementations into repeatable approaches that field teams can deliver independently.\n\nAbout the role\n\nWe are looking for an experienced technical leader to serve as a primary technical counterpart to Google Cloud Customer Engineers, AI specialists, and partner technical teams.\n\nYou will shape joint technical strategy, define engagement models, and build systems that scale beyond individual deals. Working across pre- and post-sales, you will guide enterprise customers from discovery through production while enabling Google Cloud and its partners to lead subsequent deployments.\n\nThis role combines hands-on engineeringerly Vertex AI), particularly Model Garden and its Python SDK tooling, and help customers choose supported OpenAI integration paths based on workload requirements, model capabilities, security controls, and operational needs.\n\nIn this role, you will:\n\nStrategic Google Cloud engagement and influence\n\nBuild trusted relationships with Google Cloud field leadership, Customer Engineers, AI specialists, and partner teams across regions.\n\nInfluence joint account strategy and identify new opportunities where OpenAI can improve customer outcomes within Google Cloud environments.\n\nDefine engagement models and prioritization frameworks that concentrate technical effort on high-impact opportunities and reusable solutions.\n\nHelp teams distinguish model access through Model Garden, purchasing through Google Cloud Marketplace, and direct OpenAI offerings.\n\nComplex deal leadership and execution\n\nLead technical strategy for complex enterprise engagements, from use-case discovery and architecture design to prototyping, evaluation, and production deployment.\n\nResolve integration and operational blockers with OpenAI and Google Cloud counterparts, giving account teams clear decisions and next steps.\n\nValidate model and feature availability, regional requirements, access controls, data handling, quotas, and support boundaries for each workload.\n\nPrioritize opportunities and allocate technical resources according to customer impact and the potential to scale through the ecosystem.\n\nSolution architecture and hands-on building\n\nDesign and build OpenAI-powered applications that integrate with Google Cloud services, including Cloud Run or Google Kubernetes Engine, Cloud Storage, and BigQuery where appropriate.\n\nDevelop reference implementations for supported Model Garden access to OpenAI through the Responses API, alongside direct OpenAI integration patterns where those better meet customer requirements.\n\nUse the Vertex AI SDK for Python / Agent Platform SDK to discover deployable Model Garden models, inspect deployment configurations, and deploy supported open models to endpoints. Validate project, region, machine and accelerator choices, credentials, permissions, and test inference; distinguish this workflow from managed model API access.\n\nMaintain supported SDK dependencies and adapt examples as Google updates its SDKs. Use Google Gen AI SDK for Google generative-AI capabilities migrated out of legacy Vertex AI modules, and the documented OpenAI API or SDK for OpenAI integration paths.\n\nBuild retrieval-augmented generation and tool-using workflows, connecting approved enterprise data and services with clear authorization boundaries.\n\nEstablish evaluation, observability, CI/CD, and operational practices that address output quality, safety, reliability, latency, and cost.\n\nMake identity, networking, secrets management, and data governance explicit in architectures rather than assuming controls transfer between services or providers.\n\nEcosystem enablement and scale\n\nCreate workshops, demos, playbooks, and reference architectures that Google Cloud teams and systems integrators can use independently.\n\nTeach partner engineers how to evaluate model choices in Model Garden and select deployment approaches based on customer needs.\n\nPair with field teams on early deployments, then transfer delivery ownership as patterns mature.\n\nScale through global and regional systems integrators and independent software vendors, maintaining reusable assets as integrations evolve.\n\nCross-functional leadership and feedback\n\nWork with Alliances, Product, Engineering, GTM, and Enablement to align technical priorities and execution.\n\nTurn recurring customer and partner issues into evidence-backed product feedback and specific requests.\n\nMaintain clear guidance on validated capabilities, preview limitations, and unresolved gaps, and follow decisions back to the field.\n\nYou'll thrive in this role if you:\n\nHave substantial technical consulting or equivalent experience, including relationships with senior technical and business leaders in complex organizations.\n\nHave hands-on experience with Model Garden and the Vertex AI SDK for Python / Agent Platform SDK, including programmatic model discovery, deployment configuration, endpoint deployment, and inference testing. Understand how this tooling differs from Google Gen AI SDK and OpenAI API/SDK integration paths.\n\nCan build production applications using Python or another relevant language, APIs, containers, and cloud services.\n\nHave practical experience with LLM evaluation, retrieval, tool use, and secure enterprise integration.\n\nBalance hands-on delivery with strategic influence, know when to go deep and when to enable others, and build trust with engineers, architects, and executives.\n\nPrefer repeatable solutions, take ownership of ambiguous problems, and measure success through customer outcomes and partner self-sufficiency.\n\nAbout OpenAI\n\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core the full spectrum of humanity.\n\nWe are an equal opportunity employeration, or other applicable legally protected characteristic.\n\nBackground checks for applicants will be administered in accordance with applicable lawation technology systems and related data security obligations.\n\nTo notify OpenAI that you believe this job posting is non-compliant. No response will be provided to inquiries unrelated to job posting compliance.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities.\n\nAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.\n\nCompensation\n\n$197K – $278K + Offers Equity\n\nThe base pay offered may vary depending on multiple individualized factorsance-related bonus(es) for eligible employees, and the following benefits.\n\nMedical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts\n\nPre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)\n\n401(k) retirement plan with employer match\n\nPaid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)\n\nPaid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees\n\n13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)\n\nMental health and wellness support\n\nEmployer-paid basic life and disability coverage\n\nAnnual learning and development stipend to fuel your professional growth\n\nDaily meals in our offices, and meal delivery credits as eligible\n\nRelocation support for eligible employees\n\nAdditional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.\n\nMore details about our benefits are available to candidates during the hiring process.\n\nThis role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.","company":"OpenAI","rawCompany":"openai","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-11-13T09:15:46.659Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.00","title":"Computer Occupations, All Other","slug":"computer-occupations-all-other"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Partner Applied AI Engineer, Google Cloud","description":"Technical Success - San Francisco\n\nAbout the team\n\nThe Applied AI Engineering team helps developers and enterprises deploy generative AI safely and effectively. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems.\n\nAs a Partner Applied AI Engineer focused on Google Cloud, you will help customers build with OpenAI in the cloud environment they already use. You will work with Google Cloud and its partner ecosystem to turn early implementations into repeatable approaches that field teams can deliver independently.\n\nAbout the role\n\nWe are looking for an experienced technical leader to serve as a primary technical counterpart to Google Cloud Customer Engineers, AI specialists, and partner technical teams.\n\nYou will shape joint technical strategy, define engagement models, and build systems that scale beyond individual deals. Working across pre- and post-sales, you will guide enterprise customers from discovery through production while enabling Google Cloud and its partners to lead subsequent deployments.\n\nThis role combines hands-on engineeringerly Vertex AI), particularly Model Garden and its Python SDK tooling, and help customers choose supported OpenAI integration paths based on workload requirements, model capabilities, security controls, and operational needs.\n\nIn this role, you will:\n\nStrategic Google Cloud engagement and influence\n\nBuild trusted relationships with Google Cloud field leadership, Customer Engineers, AI specialists, and partner teams across regions.\n\nInfluence joint account strategy and identify new opportunities where OpenAI can improve customer outcomes within Google Cloud environments.\n\nDefine engagement models and prioritization frameworks that concentrate technical effort on high-impact opportunities and reusable solutions.\n\nHelp teams distinguish model access through Model Garden, purchasing through Google Cloud Marketplace, and direct OpenAI offerings.\n\nComplex deal leadership and execution\n\nLead technical strategy for complex enterprise engagements, from use-case discovery and architecture design to prototyping, evaluation, and production deployment.\n\nResolve integration and operational blockers with OpenAI and Google Cloud counterparts, giving account teams clear decisions and next steps.\n\nValidate model and feature availability, regional requirements, access controls, data handling, quotas, and support boundaries for each workload.\n\nPrioritize opportunities and allocate technical resources according to customer impact and the potential to scale through the ecosystem.\n\nSolution architecture and hands-on building\n\nDesign and build OpenAI-powered applications that integrate with Google Cloud services, including Cloud Run or Google Kubernetes Engine, Cloud Storage, and BigQuery where appropriate.\n\nDevelop reference implementations for supported Model Garden access to OpenAI through the Responses API, alongside direct OpenAI integration patterns where those better meet customer requirements.\n\nUse the Vertex AI SDK for Python / Agent Platform SDK to discover deployable Model Garden models, inspect deployment configurations, and deploy supported open models to endpoints. Validate project, region, machine and accelerator choices, credentials, permissions, and test inference; distinguish this workflow from managed model API access.\n\nMaintain supported SDK dependencies and adapt examples as Google updates its SDKs. Use Google Gen AI SDK for Google generative-AI capabilities migrated out of legacy Vertex AI modules, and the documented OpenAI API or SDK for OpenAI integration paths.\n\nBuild retrieval-augmented generation and tool-using workflows, connecting approved enterprise data and services with clear authorization boundaries.\n\nEstablish evaluation, observability, CI/CD, and operational practices that address output quality, safety, reliability, latency, and cost.\n\nMake identity, networking, secrets management, and data governance explicit in architectures rather than assuming controls transfer between services or providers.\n\nEcosystem enablement and scale\n\nCreate workshops, demos, playbooks, and reference architectures that Google Cloud teams and systems integrators can use independently.\n\nTeach partner engineers how to evaluate model choices in Model Garden and select deployment approaches based on customer needs.\n\nPair with field teams on early deployments, then transfer delivery ownership as patterns mature.\n\nScale through global and regional systems integrators and independent software vendors, maintaining reusable assets as integrations evolve.\n\nCross-functional leadership and feedback\n\nWork with Alliances, Product, Engineering, GTM, and Enablement to align technical priorities and execution.\n\nTurn recurring customer and partner issues into evidence-backed product feedback and specific requests.\n\nMaintain clear guidance on validated capabilities, preview limitations, and unresolved gaps, and follow decisions back to the field.\n\nYou'll thrive in this role if you:\n\nHave substantial technical consulting or equivalent experience, including relationships with senior technical and business leaders in complex organizations.\n\nHave hands-on experience with Model Garden and the Vertex AI SDK for Python / Agent Platform SDK, including programmatic model discovery, deployment configuration, endpoint deployment, and inference testing. Understand how this tooling differs from Google Gen AI SDK and OpenAI API/SDK integration paths.\n\nCan build production applications using Python or another relevant language, APIs, containers, and cloud services.\n\nHave practical experience with LLM evaluation, retrieval, tool use, and secure enterprise integration.\n\nBalance hands-on delivery with strategic influence, know when to go deep and when to enable others, and build trust with engineers, architects, and executives.\n\nPrefer repeatable solutions, take ownership of ambiguous problems, and measure success through customer outcomes and partner self-sufficiency.\n\nAbout OpenAI\n\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core the full spectrum of humanity.\n\nWe are an equal opportunity employeration, or other applicable legally protected characteristic.\n\nBackground checks for applicants will be administered in accordance with applicable lawation technology systems and related data security obligations.\n\nTo notify OpenAI that you believe this job posting is non-compliant. No response will be provided to inquiries unrelated to job posting compliance.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities.\n\nAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.\n\nCompensation\n\n$197K – $278K + Offers Equity\n\nThe base pay offered may vary depending on multiple individualized factorsance-related bonus(es) for eligible employees, and the following benefits.\n\nMedical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts\n\nPre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)\n\n401(k) retirement plan with employer match\n\nPaid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)\n\nPaid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees\n\n13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)\n\nMental health and wellness support\n\nEmployer-paid basic life and disability coverage\n\nAnnual learning and development stipend to fuel your professional growth\n\nDaily meals in our offices, and meal delivery credits as eligible\n\nRelocation support for eligible employees\n\nAdditional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.\n\nMore details about our benefits are available to candidates during the hiring process.\n\nThis role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.","datePosted":"2026-11-13T09:15:46.659Z","dateModified":"2026-11-13T09:15:46.659Z","hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ea56ceae033dbcc77cf598f6"},"url":"https://jobsearcher.com/jobs/ea56ceae033dbcc77cf598f6"}}