Azure/ GenAI Architect
2 weeks ago
High level:
Clienture GenAI Clienthitect (understanding of vector stores and other AI components)
Experience managing offshore teams
Ability to manage backlog and prioritize effectively
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/Client Understanding: Demonstrate a deep understanding of AI/Client principles, including GenAI-specific approaches.
Clienture Ecosystem: Leverage knowledge of the Clienture 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 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 (Clienture).
AI/Client: Understanding of AI/Client, including GenAI/LLM solutions.
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