OpenAI
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PartnerAIDeploymentEngineer-AWS
Neural analysis suggests this role is
optimal for Senior candidates.
“Partner AI Deployment Engineer - AWS at OpenAI. Skills: AI Deployment, AWS Integration, Partner Enablement. Serve as technical counterpart. Build trust and credibility”
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
8+ years technical consulting experience, Manage C-level relationships, Manage global organizations
Nice to Have
AWS Certified Solutions Architect
What You'll Do.
Serve as technical counterpart
Build trust and credibility
Influence joint account strategy
Influence technical direction
Shape how OpenAI engages
Define engagement models
Define prioritization frameworks
Define best practices
Identify net-new opportunities
Drive high-impact use cases
Lead technical strategy
Guide customers from ideation
Guide architecture design
Guide production deployment
Act as technical decision-maker
Act as escalation point
De-risk complex implementations
Apply judgment to prioritize
Allocate technical resources
Design end-to-end AI architectures
Communicate AI architectures
Build reference implementations
Establish best practices
Ensure solutions are repeatable
Ensure solutions are extensible
Enable AWS and partners
Develop reusable solution patterns
Develop reusable assets
Deploy assets independently
Mentor partner technical teams
Uplift partner technical teams
Accelerate partner self-sufficiency
Scale impact through partners
Partner closely with Alliances
Partner closely with Product
Partner closely with Engineering
Partner closely with GTM
Partner closely with Enablement
Act as bridge between field
Act as bridge between product
Deliver high-signal insights
Inform prioritization
Contribute to internal knowledge
Define standards for ADE
Define patterns for ADE
Define playbooks for ADE
How You'll Work.
Team & Collaboration
Cross-functional teams; Partner ecosystems; AWS field leadership; AWS partner teams; AWS Solutions Architects; AWS Specialists; AWS Partner teams; GSIs; RSIs; ISVs; Alliances; Product teams; Engineering teams; GTM teams; Enablement teams
Communication Scope
Executive presentations; Technical documentation
Process & Methodology
Prioritization frameworks, Roadmap planning
Full Job Description
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 Bangalore. 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 techni
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