Location: | New York, NY |
Openings: | 1 |
Description:
Job Description:
· AI & GenAI demonstratable experience and knowledge in the following domains: Life science, Healthcare, Energy,
Resources and Utilities
· Excellent communication skills (verbal and writing) able to converse at CxO level
· Demonstrable hands on knowledge on the usage, design and implementation of AI & GenAI solutions.
· Excellent understanding of Data & Analytics landscape in various clouds and associated architecture patterns
· Working knowledge of the pros, cons and usages of various analytical tools such as Databricks, Snowflake and
other similar analytical tools.
· Understanding of infrastructure (including hosting, container based deployments and storage architectures) would
be advantageous.
· Demonstrate ability to rapidly learn new and emerging technologies and developing a vision of their suitability and
role as a new product within a platform & product landscape
· Demonstrable hands on knowledge on the usage, design and implementation of AI & GenAI solutions.
· Excellent understanding of Data & Analytics landscape in various clouds and associated architecture patterns
· Working knowledge of the pros, cons and usages of various analytical tools such as Databricks, Snowflake and
other similar analytical tools.
· Understanding of infrastructure (including hosting, container based deployments and storage architectures) would
be advantageous.
· Demonstrate ability to rapidly learn new and emerging technologies and developing a vision of their suitability and
role as a new product within a platform & product landscape
· As an experienced data solutions architect providing solutions to meet functional and non-functional requirements
· Hands on experience with AI and GenAI solutions, especially around initiation and implementation of such solutions
· Proactively provide guidance on AI and GenAI technologies, methodologies, standards and leading practices.
· Provide insight and direction on roles and responsibilities required for solutions in AI and GenAI .
· Identify, communicate and mitigate Risks, Assumptions, Issues and Decisions throughout full lifecycle.
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