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.