Qualifications

• 8-12 years of experience in AI/ML engineering.
• Strong expertise in Snowflake, particularly with Snowflake Cortex.
• Background in AI/ML with a focus on generative AI and LLMs.
• Proficient in solution architecture and data platform strategy.
• Solid programming skills in SQL and Python, with experience in integrating AI frameworks and APIs.
• Familiar with cloud platforms such as AWS, Azure, or GCP.
• Strong communication and stakeholder management skills.

Responsibilities

• Define and lead AI/GenAI strategy using Snowflake Cortex capabilities.
• Architect end-to-end AI solutions from data ingestion to model deployment.
• Design scalable, secure, and high-performance AI and data architectures.
• Collaborate with business stakeholders to identify high-impact AI use cases.
• Lead the design of solutions, POCs, and implement AI-driven applications.
• Establish AI governance, model lifecycle management, and responsible AI practices.

Benefits

• Opportunity to work with cutting-edge AI technologies.
• Leadership role in driving AI strategy and implementation.
• Collaborative work environment with business stakeholders.
• Focus on high-impact projects for large-scale implementations.
• Emphasis on best practices in AI governance and management.