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Snowflake is seeking a visionary engineering leader to build and scale the AI Solutions team. As Director of Engineering for AI Enterprise, you will lead a world-class global engineering organization designing and implementing cutting-edge AI solutions on Snowflake's AI Data Cloud platform.
Key responsibilities include recruiting, mentoring, and scaling a high-performing engineering organization while fostering a culture of innovation and ownership. You will define the long-term technical vision and organizational structure for the AI Solutions team, ensuring alignment with Snowflake's product evolution and business strategy.
You will own the end-to-end technical design and development of advanced AI and machine learning solutions leveraging Snowflake Cortex and Snowflake ML, from concept through enterprise-grade production deployment. This includes acting as the senior engineering authority in customer engagements, partnering directly with Fortune 100 customers and Go-To-Market teams to understand their needs and drive tangible business impact.
The role requires serving as the engineering voice in strategic planning, influencing headcount, budget, and product roadmaps while forging strong partnerships with Product, Research, and Sales teams. You will drive continuous improvement in AI methodologies and best practices, representing Snowflake's AI capabilities within the broader technical community.
Required qualifications include 12+ years of software engineering experience with at least 4 years as an Engineering Director managing managers. You need deep technical expertise in AI/ML with proven hands-on experience building and deploying solutions using LLMs, natural language processing, and generative AI technologies. Strong track record delivering complex software solutions to enterprise customers, experience scaling engineering organizations across multiple geographies, and exceptional stakeholder management skills are essential. The role involves up to 25% travel for customer and team engagement.
