Gen AI Architect (ATC)

10-12 Years

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Early Applicant

Job Description

GenAI Solution Architect

Responsibilities

Design comprehensive architectures for GenAI applications utilizing Azure OpenAI LLM.
Integrate RAG systems to enhance AI applications with contextually relevant data retrieval capabilities.
Ensure solutions are scalable, cost-effective, and aligned with business objectives.
Oversee the development and deployment of GenAI solutions on Azure.
Coordinate with cross-functional teams including developers, client technical and business teams.
Work closely with stakeholders to define technical requirements and business goals.
Present complex technical information in a clear and concise manner to non-technical stakeholders.

Requirements

10+ years experience with 5+ years of experience in AI and machine learning, with a strong focus on solution architecture.
Should have hands-on experience in deploying at least one end to end GenAI project.
Proven experience with Azure OpenAI LLMs and its application in enterprise environments.
Hands-on experience with Retrieval-Augmented Generation (RAG) systems.
Expertise in Azure cloud services and architecture.
Strong programming skills in Python and familiarity with AI development tools and libraries.
Knowledge of AI model training, fine-tuning, and deployment processes.
Excellent problem-solving and analytical skills.
Strong leadership and project management abilities.
Effective communication and interpersonal skills.