AI Engineer - Use Cases & Semantic Layer

Job Description

We are looking for a hands-on AI Data Engineer to join our Analytics team and lead the development and implementation of AI-driven use cases.

This role requires strong technical expertise in AI, data, and analytics, with the ability to independently design, build, and deploy solutions - from querying and preparing data to activating AI models and delivering end-to-end use cases.

The position operates within the data infrastructure layer, supporting analytics, AI, and ML ingestion and use cases, and focuses on turning data and AI capabilities into practical, scalable business solutions.

The ideal candidate has experience building AI agents and deploying AI-powered applications in real-world environments, and can help establish best practices and architecture for scalable AI solutions.

Key Responsibilities:
• Design and build end-to-end AI use cases across analytics and business workflows
• Independently query, analyze, and prepare data using platforms such as Databricks or Snowflake (SQL, notebooks, etc.)
• Integrate and activate AI models (including LLM-based solutions) into business use cases
• Work within the data infrastructure to ensure correct and consistent data usage for analytics and AI
• Build AI agents, assistants, and automation solutions on top of enterprise data
• Connect data, models, and business logic into usable solutions (dashboards, agents, assistants, etc.)
• Collaborate with IT and data engineering teams for data access and infrastructure alignment (without owning infrastructure)
• Optimize solutions for performance, scalability, and cost (including compute/token usage)
• Continuously explore and implement new AI capabilities and tools

Qualifications

• At least 8 years of relevant experience in the field
• Strong hands-on experience with AI/ML and LLM-based solutions
• Proven ability to build end-to-end data + AI use cases independently
• Experience building AI agents or AI-powered applications in production environments
• Experience with Databricks or Snowflake (SQL, notebooks, or similar development environments)
• Strong data skills: querying, transformation, and analysis
• Good understanding of modern data architectures (Lakehouse, cloud environments)
• Experience integrating AI into real-world applications (automation, assistants, analytics)
• Experience with cloud platforms (AWS / Azure / GCP)
• Ability to work independently and drive execution end-to-end

Nice to Have:

• Experience with Databricks specifically, including relevant certifications
• Experience with semantic layers or data modeling
• Familiarity with AI orchestration frameworks (e.g., LangChain)
• Experience working in analytics or data-driven organizations

Additional Information

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.