Partner AI Deployment Engineer – AWS

OpenAI

Partner AI Deployment Engineer responsible for AWS deployment strategies and technical leadership in OpenAI. Guiding enterprise customers from ideation to production while influencing joint account strategy.

Posted 6/1/2026full-timeRemote • 🇮🇳 IndiaSeniorLeadWebsite

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Hard Skills

AWSOpenAIAI architecture designprototypingproduction deploymenttechnical strategyGenAI systemssolution patternsreference implementationsengagement models

Soft Skills

technical leadershipsystems thinkingrelationship managementstrategic influencetrust buildingproblem-solvingcustomer successcollaborationcommunicationadaptability

Tools & Technologies

workshopsplaybooksreference architecturesdemoscloud servicesscalable systemstechnical motionsPOCsengagement frameworksdeployment strategies

Industry Keywords

technical consultingenterprise engagementsC-level relationshipsglobal organizationshigh-stakes projectsrepeatable patternsecosystem-oriented viewhigh-visibility problem spacescomplex implementationsnet-new opportunities

Tech Stack

Tools & technologies

AWS

About the role

Key responsibilities & impact

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.
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.
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.
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.

Requirements

What you’ll need

Have 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.
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.

Benefits

Comp & perks

Equal opportunity employer
Reasonable accommodations for applicants with disabilities.
Background checks will be administered in accordance with applicable law.