OpenAI Solutions Architect — Azure & GPT

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.

• 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.

• 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.

• 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.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Information Systems, or a related discipline (or equivalent practical experience).