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Specialized OpenAI certification and deep GenAI skills lower applicant pool despite metro location and recognizable employer.
Requires specialized OpenAI/Azure GenAI expertise and partner certification, limiting cross-industry transferability.
Mandatory 7–9 years, OpenAI partner certification, and hands-on GenAI delivery create strict shortlisting filters.
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Design and architect enterprise GPT-4o, Azure OpenAI, and Codex solutions including RAG, agentic, and Assistants API patterns.
Lead technical discovery, solution architecture, effort estimation, and solution reviews for OpenAI-based engagements under the EXL–OpenAI GTM partnership.
Develop reference architectures, accelerators, and guide GenAI developers ensuring architectural consistency, security, and quality across OpenAI/Azure platforms.
7–9 years of experience in solution architecture, AI/ML, or software engineering with hands-on GenAI delivery.
OpenAI partner-portal certification required (held or in progress).
Hands-on experience designing solutions with GPT-4o, Azure OpenAI, Codex, and expertise in RAG architectures, embeddings, vector search, prompt orchestration.
Strong Azure cloud background preferred; degree requirements: Bachelor’s or Master’s in relevant technical fields or equivalent experience.
Experienced in client-facing solution design in enterprise or regulated domains capable of leading commercial and technical conversations with senior stakeholders.
Skilled in defining reusable accelerators, reference architectures, and leading GTM tracks under hyperscaler/model-provider partnerships.
Demonstrates strong practical knowledge of responsible AI, security, privacy, governance, and stays updated with model/platform advances through close partnership with OpenAI teams.