Description

You will lead and consult on AI-driven initiatives, focusing on GenAI architecture and LLM model selection.

Responsibilities

• Consult with business leaders to identify opportunities where LLMs can add value and define business cases for GenAI projects.
• Architect and design scalable AI solutions that integrate LLMs and generative AI technologies.
• Lead MVP development by collaborating with data scientists, ML engineers, and stakeholders.
• Provide guidance on AI governance, data privacy, model interpretability, and responsible AI practices.
• Drive thought leadership on best practices for deploying and scaling AI models in production.

Required Skills

• 5+ years of experience in AI architecture with a focus on consulting and LLMs.
• Hands-on experience building and deploying large-scale AI models.
• Expertise in GenAI architecture, LLM model selection, and end-to-end AI solution design.
• Proficiency with Azure OpenAI and other common LLMs.
• Experience with cloud-based AI services including AWS, Azure, and Google Cloud.
• Technical knowledge of TensorFlow and PyTorch.
• Advanced degree in Computer Science, Data Science, or a related field.
• Ability to work across multi-geography environments and bridge technical solutions with business objectives.

Key Skills

Education

Advanced degree in Computer Science, Data Science