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.

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