About the role
About the team
The Applied AI 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 Applied AI 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 can be based in either Bangalore, Mumbai or Delhi.
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.