OpenAI Solutions Architect — Azure & GPT

Job description

Job Description: The OpenAI Solutions Architect — Azure & GPT Platforms designs enterprise GPT-4o, Azure OpenAI, and Codex solutions for EXL clients. The role acts as the commercial track lead under the EXL–OpenAI go-to-market partnership within the India AI Center of Excellence. The architect owns technical solutioning for OpenAI-based engagements and partners with OpenAI teams on GTM motions. OpenAI partner-portal certification is required, and a strong Azure cloud background is preferred. **Responsibilities: Responsibilities** - Design enterprise solutions using GPT-4o, Azure OpenAI, and Codex, including RAG, agentic, and Assistants API patterns. - Act as the commercial track lead under the EXL–OpenAI GTM partnership, aligning solution design with joint go-to-market motions. - Lead technical discovery, solution architecture, effort estimation, and solution reviews for OpenAI engagements. - Define patterns for prompt orchestration, tool/function calling, guardrails, and evaluation on the OpenAI/Azure stack. - Produce reference architectures, accelerators, and solution design artefacts for the OpenAI CoE. - Partner with OpenAI teams on enablement, certification, and solution acceleration, staying current with model and platform updates. - Guide GenAI developers to ensure architectural consistency, security, and delivery quality. **Must-Have Skills** - 7–9 years of experience in solution architecture, AI/ML, or software engineering, with hands-on GenAI delivery. **OpenAI & Azure Architecture** - Hands-on experience designing solutions with GPT-4o, Azure OpenAI, and Codex. - Strong expertise in RAG architectures, embeddings, vector search, prompt orchestration, and evaluation. - OpenAI partner-portal certification required (held or in progress). - Strong Azure cloud background (Azure OpenAI, Azure AI Search, containerized deployment, CI/CD, monitoring) preferred. **Delivery & Communication** - Client-facing solutioning experience, ideally in enterprise or regulated domains. - Strong understanding of responsible AI, security, privacy, and governance. - Excellent communication skills—able to lead commercial and technical conversations with senior stakeholders. **Good-to-Have / Preferred** - Experience with the OpenAI Assistants API and agentic workflows. - Experience leading GTM or commercial tracks under a hyperscaler/model-provider partnership. - Experience defining reusable accelerators or reference architectures for a CoE. - Additional Azure or AI architecture certifications. - Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Information Systems, or a related discipline (or equivalent practical experience).