- Azure GenAI architect (understanding of vector stores and other AI components)
- Experience managing offshore teams
- Ability to manage backlog and prioritize effectively
- Use Cases and Strategy: Develop and strategize use cases for GenAI applications in alignment with business objectives.
- Executive Presence: Engage with senior stakeholders, presenting GenAI solutions and illustrating their impact.
- Data Science Expertise: Harness your strong background in data science to drive insights and foster innovation.
- AI/Client Understanding: Demonstrate a deep understanding of AI/Client principles, including GenAI-specific approaches.
- Azure Ecosystem: Leverage knowledge of the Azure ecosystem to establish AI practices within organizations.
- End-to-End AI Lifecycle: Oversee engagements from ideation through proof of concept (POC) to scaling AI solutions.
- MLOPS: Implement best practices for machine learning operations (MLOPS).
- Experience: Minimum of 6-12 years of relevant experience.
- Education: Bachelor's degree required.
- Product Management: Excellent product management skills.
- Agile/Scrum: Familiarity with Agile/Scrum methodologies.
- Cloud Platforms: Knowledge of cloud big data platforms (Azure).
- AI/Client: Understanding of AI/Client, including GenAI/LLM solutions.
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Azure GenAI Architect-Denver, CO - Georgia IT Inc
Description
Position: Azure GenAI ArchitectLocation: Denver, CO
Duration: 12 Months
Rate:DOE
US Citizens and Green cards are Preferred. No 3rd party C2C
This is a better description of the requirements:
High level:
