OpenAI Solutions Architect — Azure & GPT
Summary
Designs enterprise GenAI solutions using GPT-4o, Azure OpenAI, and Codex, including RAG and agentic patterns, while leading EXL–OpenAI go-to-market efforts in India.
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).