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Partner AI Deployment Engineer - AWS

OpenAI · Posted Oct 27

Artificial intelligence research, generative models, and advanced machine learning deployment

Bangalore - Remote (can be based in Bangalore, Mumbai or Delhi)Full-timeRemote · India (Bangalore, Mumbai, or Delhi)Lead/Staff8+ years₹70.0L–₹1.4Cr yearly27 applicants
Artificial IntelligenceGenerative AIMachine LearningSoftwarePublic Company
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About the role

The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises, serving as trusted technical advisors from early experimentation to production-scale AI systems. As a Partner AI Deployment Engineer focused on AWS, you operate at the center of one of OpenAI's most strategic partnerships, acting as the primary technical counterpart to AWS field leadership across pre- and post-sales. The role involves shaping strategy and engagement models, leading complex enterprise deals, building end-to-end AI architectures and reference implementations, and enabling AWS and partner ecosystems to scale adoption of OpenAI-powered solutions.

What you will do

  • 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.
  • Apply strong judgment to prioritize opportunities and allocate limited technical resources for maximum impact.
  • 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.
  • 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.
  • 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.

Skills used in this role

What the employer is looking for

  • 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 and support

  • Compensation and benefits are detailed in the job posting

About OpenAI

OpenAI is an AI research and deployment organization dedicated to developing safe and beneficial general-purpose artificial intelligence. The company creates breakthrough generative AI models like ChatGPT and the GPT series, aiming to ensure artificial intelligence broadly benefits all of humanity.

Industry
Artificial Intelligence
Company size
5001-10000 employees
Founded
December 8, 2015
Location
San Francisco, California, USA
Funding stage
Public Company

Funding

Public Company · $190B raised

MicrosoftSoftBank GroupAmazonNVIDIAThrive CapitalKhosla VenturesSequoia Capital
  • 2026-03-31Series F$122B
  • 2025-03-31Series F$40B
  • 2024-10-02Series E$6.6B
  • 2023-01-23Corporate Round$10B
  • 2019-07-22Corporate Round$1B

Leadership

SA
Sam Altman

Chief Executive Officer and Co-Founder

GB
Greg Brockman

President and Co-Founder

SF
Sarah Friar

Chief Financial Officer

JP
Jakub Pachocki

Chief Scientist

JK
Jason Kwon

Chief Strategy Officer

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