Azure GenAI Architect-Denver, CO
Georgia Tek Systems
Denver, CO
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JOB DETAILS
SKILLS
Agile Programming Methodologies, Artificial Intelligence (AI), Backlog Prioritization, Best Practices, Big Data, Cloud Computing, Data Science, Ecosystems, Machine Learning, Machining Operations, Microsoft Windows Azure, Offshoring, Product Management, Proof of Concept, Scrum Project Management and Software Development, Strategic Planning, Team Lead/Manager, Use Cases
LOCATION
Denver, CO
POSTED
30+ days ago
Position: Azure GenAI Architect
Location: 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:
Responsibilities:
Qualifications:
Location: 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:
- Azure GenAI architect (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.
- 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/Client: Understanding of AI/Client, including GenAI/LLM solutions.
About the Company
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