Live opening · Posted 12 days ago
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About the role
Description supplied by the original job listing.
Design AI platforms that span AWS, Azure, and GCP without becoming lowest-common-denominator mush.
On Nebulai contract engagements, you help clients pick where workloads should live: Bedrock vs Azure OpenAI vs Vertex, shared eval/observability patterns, identity and networking across clouds, and escape hatches when a vendor or region constraint appears. Marketplace talent advising multi-cloud AI delivery—not claiming employment at any hyperscaler.
Strong fit if you:
- Have designed or delivered AI/ML solutions on at least two major clouds
- Can explain tradeoffs (model access, data residency, cost, ops burden) without dogma
- Know enterprise constraints: SSO, private networking, key management, logging
- Leave behind reference architectures teams can actually implement
Bonus:
- Abstraction layers or gateway patterns for multi-provider LLMs
- CoE or platform experience standardizing across clouds
- Regulated or global deployment experience
Apply at https://nebulai.app
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