GenAI Solution Architect

Position: GenAI Solution Architect

Location: Austin TX ( 3 days a week onsite )

Duration: Contract

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.

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.

Best Regards,

Prashant Kumar

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