登录获取应用

职位 › Bangalore › 职位详情

Partner AI Deployment Engineer - AWS

OpenAI · Bangalore - Remote

全职现场办公英语

职位介绍

摘自雇主发布的职位信息 · OpenAI · 发布于2026年6月1日

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 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. 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, rat

提及的技能

Go To MarketTechnical Success

每个职位,都有你的匹配分

BabZituna按六个真实维度,将每个职位与你的资料对照评分,并告诉你为什么得出这个分数,公平性经过审计(阅读公开的偏见审计)。

获取应用 → ✓ 求职者100%免费
一个职位如何评分 示例
技能96经验90地点84工作方式74工作类型61薪资无数据

示例数据,并非真实候选人。每个维度根据你本人的资料按100分制评分;无法衡量的维度会如实标明,而不是猜测。