AI Engineer – Use Cases & Semantic Layer at Sandisk

Kfar Saba, Center District, Israel -

Full Time

Start Date

Immediate

Expiry Date

28 Jul, 26

Salary

0.0

Posted On

29 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Engineering, Data Engineering, LLM, Databricks, Snowflake, SQL, AI Agents, Machine Learning, Data Analysis, Cloud Platforms, Python, Data Architecture, Automation, Semantic Layers, LangChain

Industry

Semiconductor Manufacturing

Description

Company Description Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. 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 • 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. Business Function: Data Science Work Location: Kfar Saba Office--LOC_SNDK_Kfar Saba Office

Responsibilities

The AI Data Engineer will design and build end-to-end AI use cases, integrating LLM-based models and AI agents into business workflows. They will collaborate with IT and data teams to ensure scalable data usage and optimize performance across analytics and automation solutions.