Generative AI Engineer
📋 Role Overview & Responsibilities
Job Description: Position: Azure GenAI ArchitectLocation: Denver, CO Sogeti
Requirements
Azure GenAI architect (understanding of vector stores and other AI components)Experience managing offshore teamsAbility 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/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 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/ML: Understanding of AI/ML, including GenAI/LLM solutions
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