Azure GenAI Architect

Responsibilities:
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/ML Understanding: Demonstrate a deep understanding of AI/ML 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).

Qualifications:
Experience: Minimum of 12+ years of relevant experience.
Would ideally like 6+ as Architect including solid Azure GenAI 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/ML: Understanding of AI/ML, including GenAI/LLM solutions.