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.