OpenAI
About this role
OpenAI's AI Deployment Engineering team helps developers and enterprises move generative AI from experimentation into production, and this seat is focused on the AWS partnership specifically. You would act as the primary technical counterpart to AWS field leadership, which means solutions architects, specialists and partner teams, and build the repeatable patterns that let AWS and its partners deploy independently. It is genuinely hands on alongside the strategy work: designing end to end AI architectures across OpenAI and AWS services, and building prototypes and reference implementations. Eight years of technical consulting is the bar. One important correction: OpenAI's board lists this as India remote, but the posting body states the role is based in Bangalore.
Who this is for
⚠️ Location correction: OpenAI's job board lists this posting as India Remote and flags it as remote, but the body of the posting states plainly that the role is based in Bangalore. We have published Bangalore because the body is the more specific statement. If remote work is the reason you are applying, confirm this with the recruiter first.
What the posting asks for:
- 8+ years of technical consulting or equivalent experience, managing C level technical and business relationships with complex global organisations.
- Deep technical expertise combined with strong judgement and ecosystem leadership.
Day to day:
- Serving as the senior technical counterpart to AWS field leadership, building credibility across regions and teams.
- Influencing joint account strategy and technical direction for high priority opportunities, and shaping how OpenAI engages with AWS through engagement models and prioritisation frameworks.
- Leading technical strategy for large, ambiguous, high stakes enterprise engagements, guiding customers from early ideation through architecture design, prototyping and production deployment.
- Acting as a technical decision maker and escalation point to de-risk complex implementations.
- Designing end to end AI architectures using OpenAI and AWS services, and building prototypes, proofs of concept and reference implementations.
- Establishing best practice for scalable, secure, production ready generative AI systems.
- Enabling AWS and partners through workshops, playbooks, reference architectures and demos, and mentoring partner technical teams towards self sufficiency.
Honest framing on where this sits: the posting says you work across both pre sales and post sales. We have published it because the requirement list is technical consulting and architecture throughout, with no sales quota or pipeline targets attached. If customer facing work is not what you want, this is not the role, and we would rather say that here than let the title imply otherwise.
Honest fit guidance: eight years of enterprise technical consulting with genuine architecture depth is the bar. Engineers without customer facing experience will find the C level relationship requirement is real.
What the posting asks for:
- 8+ years of technical consulting or equivalent experience, managing C level technical and business relationships with complex global organisations.
- Deep technical expertise combined with strong judgement and ecosystem leadership.
Day to day:
- Serving as the senior technical counterpart to AWS field leadership, building credibility across regions and teams.
- Influencing joint account strategy and technical direction for high priority opportunities, and shaping how OpenAI engages with AWS through engagement models and prioritisation frameworks.
- Leading technical strategy for large, ambiguous, high stakes enterprise engagements, guiding customers from early ideation through architecture design, prototyping and production deployment.
- Acting as a technical decision maker and escalation point to de-risk complex implementations.
- Designing end to end AI architectures using OpenAI and AWS services, and building prototypes, proofs of concept and reference implementations.
- Establishing best practice for scalable, secure, production ready generative AI systems.
- Enabling AWS and partners through workshops, playbooks, reference architectures and demos, and mentoring partner technical teams towards self sufficiency.
Honest framing on where this sits: the posting says you work across both pre sales and post sales. We have published it because the requirement list is technical consulting and architecture throughout, with no sales quota or pipeline targets attached. If customer facing work is not what you want, this is not the role, and we would rather say that here than let the title imply otherwise.
Honest fit guidance: eight years of enterprise technical consulting with genuine architecture depth is the bar. Engineers without customer facing experience will find the C level relationship requirement is real.
Apply on company site
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