Job Closed
This listing is no longer active.
Creating safe AGI that benefits all of humanity.
AI Deployment Engineer
Location
United States
Posted
140 days ago
Salary
$176K - $224K / year
Seniority
Senior
Job Description
AI Deployment Engineer
OpenAI
• 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.
Job Requirements
- Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.
- Are a strong communicator, able to explain technical and business concepts clearly to executive and practitioner audiences alike.
- Have experience leading complex deployments of Generative AI or traditional machine learning systems, ideally including infrastructure and network architecture considerations.
- Possess hands-on proficiency in languages like Python, JavaScript, or similar, and are 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.
Benefits
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 401(k) retirement plan with employer match
- Paid 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)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ 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)
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.
Related Guides
Related Categories
Related Job Pages
More DevOps Engineer Jobs
• Creation and management of AWS cloud infrastructure and configuration as well as ensuring systems and services are leveraging best practices, security, and standards. • Strong experience and expertise with managing, securing, and scaling Kubernetes. • Provide strong partnership with development teams to develop internal platforms and services to enable expediency and self-service for development teams. • Provide partnership with other teams such as financial, legal, and operations. • Provide, maintain, and optimize the build process to support continuous integration. • Investigates, debugs and drives improvements to the engineering and build automation process. • Support and improve efficiency and effectiveness of tools (CI/CD, automated testing, automation and release). • Work cross-functionally to assess risk and help deliver countermeasures that protect customers and company data • Ensure that the SaaS services and associated infrastructure maintain required levels of security, availability, reliability, scalability, and performance to meet SLAs. • Build incident management, operational monitoring, and alerting capabilities to proactively report, troubleshoot, and fix problems. • With the team, own vendor management for existing and new vendors the team leverages. • Regular on-call rotations for team owned services and infrastructure.
• Creation and management of AWS cloud infrastructure and configuration as well as ensuring systems and services are leveraging best practices, security, and standards. • Strong experience and expertise with managing, securing, and scaling Kubernetes. • Provide strong partnership with development teams to develop internal platforms and services to enable expediency and self-service for development teams. • Provide partnership with other teams such as financial, legal, and operations. • Provide, maintain, and optimize the build process to support continuous integration. • Investigates, debugs and drives improvements to the engineering and build automation process. • Support and improve efficiency and effectiveness of tools (CI/CD, automated testing, automation and release). • Work cross-functionally to assess risk and help deliver countermeasures that protect customers and company data • Ensure that the SaaS services and associated infrastructure maintain required levels of security, availability, reliability, scalability, and performance to meet SLAs. • Build incident management, operational monitoring, and alerting capabilities to proactively report, troubleshoot, and fix problems. • With the team, own vendor management for existing and new vendors the team leverages. • Regular on-call rotations for team owned services and infrastructure.
• Creation and management of AWS cloud infrastructure and configuration as well as ensuring systems and services are leveraging best practices, security, and standards. • Strong experience and expertise with managing, securing, and scaling Kubernetes. • Provide strong partnership with development teams to develop internal platforms and services to enable expediency and self-service for development teams. • Provide partnership with other teams such as financial, legal, and operations. • Provide, maintain, and optimize the build process to support continuous integration. • Investigates, debugs and drives improvements to the engineering and build automation process. • Support and improve efficiency and effectiveness of tools (CI/CD, automated testing, automation and release). • Work cross-functionally to assess risk and help deliver countermeasures that protect customers and company data • Ensure that the SaaS services and associated infrastructure maintain required levels of security, availability, reliability, scalability, and performance to meet SLAs. • Build incident management, operational monitoring, and alerting capabilities to proactively report, troubleshoot, and fix problems. • With the team, own vendor management for existing and new vendors the team leverages. • Regular on-call rotations for team owned services and infrastructure.
• Creation and management of AWS cloud infrastructure and configuration as well as ensuring systems and services are leveraging best practices, security, and standards. • Strong experience and expertise with managing, securing, and scaling Kubernetes. • Provide strong partnership with development teams to develop internal platforms and services to enable expediency and self-service for development teams. • Provide partnership with other teams such as financial, legal, and operations. • Provide, maintain, and optimize the build process to support continuous integration. • Investigates, debugs and drives improvements to the engineering and build automation process. • Support and improve efficiency and effectiveness of tools (CI/CD, automated testing, automation and release). • Work cross-functionally to assess risk and help deliver countermeasures that protect customers and company data • Ensure that the SaaS services and associated infrastructure maintain required levels of security, availability, reliability, scalability, and performance to meet SLAs. • Build incident management, operational monitoring, and alerting capabilities to proactively report, troubleshoot, and fix problems. • With the team, own vendor management for existing and new vendors the team leverages. • Regular on-call rotations for team owned services and infrastructure.
