Partner AI Deployment Engineer - AWS
Quick Overview
Job Description
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.
About the RoleWe are looking for a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership. This role shapes strategy, defines engagement models, and builds 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. The position is based in Sydney and operates on a hybrid model of three days in the office per week, with relocation assistance for new employees.
Responsibilities- 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 AWS and partner teams through customer opportunities from early ideation to 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.
- 8+ years of technical consulting (or equivalent) experience, managing C level technical and business relationships with complex global organizations.
- Operate as a technical leader and systems thinker, not just an individual contributor.
- Balance hands on building with strategic influence and scale.
- Know when to go deep technically vs. enable others to execute.
- Build trust quickly with engineers, architects, and executives alike.
- Default to creating repeatable patterns, not one off solutions.
- Comfortable owning ambiguous, high visibility problem spaces.
- Take a long term, ecosystem oriented view of impact.
- Motivated by driving customer and partner success at scale.
- Have 8+ years of technical consulting experience managing C level technical and business relationships with complex global organizations.
- Operate as a technical leader and systems thinker, not just an individual contributor.
- Balance hands on building with strategic influence and scale.
- Know when to go deep technically vs. enable others to execute.
- Build trust quickly with engineers, architects, and executives alike.
- Default to creating repeatable patterns, not one off solutions.
- Are comfortable owning ambiguous, high visibility problem spaces.
- Take a long term, ecosystem oriented view of impact.
- Are motivated by driving customer and partner success at scale.
OpenAI 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, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
OpenAI is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other legally protected characteristics. For additional information, see OpenAI's affirmative action and equal employment opportunity policy statement.
Background checks for applicants will be administered in accordance with applicable law. Qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US based candidates.
Skills
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