Global AI Solution Engineer

About the role

In this role, you will bridge the gap between business needs and practical AI-enabled solutions. You will assess whether AI is the right approach and recommend an implementation approach based on the standards, reference architectures and technology guidance defined by the Advanced Analytics Architect and relevant platform architects.

What you'll do

• Business understanding and solution fit
• Work with Data Analysts and business stakeholders to clarify:business needs and expected outcomessuccess measuresAI-specific data and context requirementsrisks and…
• Assess whether AI, analytics, automation or a conventional solution best addresses the identified business need
• Recommend solutions based on approved patterns and guidance from the Advanced Analytics Architect and the Snowflake, Azure and Fabric platform architects
• Develop and validate AI components, proofs of concept, prototypes and minimum viable solutions using Python, SQL and approved technologies

What you need

• 4–6 yrs of experience
• Machine learning
• SQL
• Python
• LLMs
• Snowflake
• Azure
• Any graduate

Good to have

• Git
• Power BI
• SAP
• CI/CD
• Salesforce
• Prototyping