Director, Enterprise AI & Machine Learning Engineering
Instacart · United States - Remote
About this role
**We’re transforming the grocery industry** At Instacart, we invite the world to share love through food—because everyone should have access to the food they love and more time to enjoy it together. We’re building the team to push the shopping cart forward, delivering an essential service customers rely on, and creating safe and flexible earnings opportunities for Instacart Personal Shoppers. **Instacart is a Flex First team** There’s no one-size-fits-all approach to how we do our best work. Choose where you do your best work—home, office, or your favorite coffee shop—while staying connected through regular in-person events. --- ## Overview Instacart’s Enterprise AI team is building the next generation of intelligent solutions for retailers. We’re seeking a **Director of Enterprise AI Engineering and Machine Learning** to lead the development of **agentic AI products** that help retailers solve complex business challenges and unlock new opportunities. In this role, you’ll work at the intersection of engineering, machine learning, data science, product, consulting, and forward-deployed engineering—partnering directly with retailers and internal stakeholders to define ambitious opportunities, shape technical strategy, and deliver innovative solutions in a rapidly evolving, zero-to-one environment. --- ## What you’ll do - Lead engineering and machine learning strategy for **agentic AI** solutions for Instacart retail partners. - Build, mentor, and inspire high-performing engineering and science teams—supporting technical excellence, experimentation, and strong execution. - Partner directly with retailers and cross-functional stakeholders to translate complex business problems into impactful AI products. - Guide development across advanced ML, data, software engineering, and agentic capabilities—emphasizing **reliability, scalability, usability, and measurable customer value**. - Establish direction in a **zero-to-one** product space—balancing long-term strategy with speed, learning from early deployments, and adapting to changing needs. - Represent Enterprise AI across the organization—communicating tradeoffs, progress, risks, and opportunities to senior stakeholders and building alignment across technical and commercial teams. --- ## About you ### Minimum Qualifications - Experience building and deploying **agentic AI, generative AI, or machine learning** products in production. - Experience leading engineering, ML, data science, or applied science teams through product development and delivery. - Experience partnering with product, business, customer-facing, and technical stakeholders to define requirements and deliver solutions to complex problems. - Strong understanding of ML development practices, software engineering principles, data systems, and operational considerations for scaling AI applications. - Ability to set technical direction, prioritize work, manage ambiguity, and deliver results in a fast-changing environment. ### Preferred Qualifications - Deep technical expertise in agentic systems, large language models, ML platforms, or related applied AI areas. - Experience delivering applied ML products at significant scale (including systems used by external customers or business partners). - Experience leading cross-functional initiatives spanning engineering, ML, data science, product, consulting, and customer-facing teams. - Experience working directly with retailers, commerce platforms, or other enterprise customer
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