OpenAI· Technical Success· San Francisco and New York City
Partner AI Deployment Engineer - AWS
Comp$197K – $278K
Classified Tasks (20)
Automate 0%Augment 55%Human-Only 45%
Augment (11)
AI assists, human decides
Ensure the safe and effective deployment of generative AI applications for developers and enterprises
operational
Proactively identify and drive net-new opportunities and high-impact use cases across the AWS ecosystem
analytical
Guide complex enterprise customers from early ideation through architecture design, prototyping, and production deployment
technical
Design and communicate end-to-end AI architectures leveraging OpenAI and AWS services
technical
Build and guide development of prototypes, proofs-of-concept, and reference implementations to accelerate adoption
technical
Establish best practices for scalable, secure, and production-ready generative AI systems
technical
Ensure solutions are designed for repeatability, extensibility, and partner-led delivery
operational
Enable AWS and partners through scalable technical motions such as workshops, playbooks, reference architectures, and demos
communication
Develop reusable solution patterns and assets that can be deployed independently by AWS teams and system integrators
technical
Bridge field and product teams by delivering high-signal insights to inform roadmap and prioritization
analytical
Contribute to internal knowledge systems and define standards, patterns, and playbooks for the AI Deployment Engineering function
administrative
Human-Only (9)
Requires human judgment
Serve as the primary technical counterpart to AWS field leadership, building trust and credibility across regions and teams
leadership
Drive joint customer success and enable AWS and partner ecosystems to scale adoption of OpenAI-powered solutions
leadership
Shape strategy for AWS engagements by defining engagement models, prioritization frameworks, and best practices
leadership
Lead technical strategy for large, ambiguous, and high-stakes enterprise engagements
leadership
Act as a technical decision-maker and escalation point to de-risk complex implementations
leadership
Prioritize opportunities and allocate limited technical resources for maximum impact
leadership
Mentor and uplift partner technical teams to accelerate their path to self-sufficiency
leadership
Scale impact by engaging through GSIs, RSIs, and ISVs rather than relying solely on direct engagement
leadership
Partner closely with Alliances, Product, Engineering, GTM, and Enablement to align on strategy and execution
communication
Job description
Partner AI Deployment Engineer - AWS | OpenAI Careers ## Partner AI Deployment Engineer - AWS Technical Success - San Francisco and New York City Apply now(opens in a new window) **About the team** The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems. As a Partner AI Deployment Engineer focused on AWS, you will operate at the center of one of our most strategic partnerships, driving joint customer success and enabling AWS and partner ecosystems to scale adoption of OpenAI-powered solutions. **About the role** We are looking for a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership (Solutions Architects, Specialists, and Partner teams). This role goes beyond individual deal support—you will shape strategy, define engagement models, and build repeatable systems that scale across AWS globally. You will work across pre- and post-sales, guiding complex enterprise customers from ideation to production while enabling AWS and partners to independently drive deployments. You will combine deep technical expertise, strong judgment, and ecosystem leadership to maximize impact across a portfolio of high-priority opportunities. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. **In this role, you will:** ### Strategic AWS Engagement & Influence * Serve as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams. * Influence joint account strategy and technical direction for high-priority opportunities. * Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices. * Proactively identify and drive net-new opportunities and high-impact use cases across the AWS ecosystem. ### Complex Deal Leadership & Execution * Lead technical strategy for large, ambiguous, and high-stakes enterprise engagements. * Guide customers from early ideation through architecture design, prototyping, and production deployment. * Act as a technical decision-maker and escalation point, de-risking complex implementations. * Apply strong judgment to prioritize opportunities and allocate limited technical resources for maximum impact. ### Solution Architecture & Hands-On Building * Design and communicate end-to-end AI architectures leveraging OpenAI and AWS services. * Build and guide development of prototypes, POCs, and reference implementations to accelerate adoption. * Establish best practices for scalable, secure, and production-ready GenAI systems. * Ensure solutions are designed for repeatability, extensibility, and partner-led delivery. ### Ecosystem Enablement & Scale * Enable AWS and partners through scalable technical motions (workshops, playbooks, reference architectures, demos). * Develop reusable solution patterns and assets that can be deployed independently by AWS teams and SIs. * Mentor and uplift partner technical teams, accelerating their path to self-sufficiency. * Scale impact by working through GSIs, RSIs, and ISVs, rather than relying solely on direct engagement. ### Cross-Functional Leadership & Feedback * Partner closely with Alliances, Product, Engineering, GTM, and Enablement to align on strategy and execution. * Act as a bridge between field and product, delivering high-signal insights to inform roadmap and prioritization. * Contribute to internal knowledge systems and help define standards, patterns, and playbooks for the ADE function. **You’ll thrive in this role if you:** * Have 8+ years of technical consulting (or equivalent) experience, managing C-level technical and business rela