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Director, Enterprise AI & Machine Learning Engineering

Role overview

Qualifications

  • Demonstrated experience building and deploying agentic AI, generative AI, or machine learning products in production environments.
  • Experience leading engineering, machine learning, data science, or applied science teams through product development and delivery.
  • Strong understanding of machine learning development practices, software engineering principles, data systems, and the operational considerations required to scale AI applications.

Responsibilities

  • Lead the engineering and machine learning strategy for agentic AI solutions designed to address the needs of Instacart’s retail partners.
  • Build, mentor, and inspire high-performing engineering and science teams.
  • Partner directly with stakeholders to translate complex business problems into impactful AI products.
  • Guide the development of systems combining machine learning, data, software engineering, and agentic capabilities.

Key facts

Hard skills

Other skills

  • Communication
  • Team Leadership
  • Problem Solving
  • Adaptability

About the company

Instacart logo

Instacart

E-commerce & Online Marketplaces

Instacart, the leading grocery technology company in North America, works with grocers and retailers to transform how people shop. The company partners with more than 1,200 national, regional, and local retail banners to facilitate online shopping, delivery and pickup services from more than 80,000 stores across North America on the Instacart Marketplace. Instacart makes it possible for millions of people to get the groceries they need from the retailers they love, and for approximately 600,000 Instacart shoppers to earn by picking, packing and delivering orders on their own flexible schedule. The Instacart Platform offers retailers a suite of enterprise-grade technology products and services to power their e-commerce experiences, fulfill orders, digitize brick-and-mortar stores, provide advertising services, and glean insights. With Instacart Ads, thousands of CPG brands – from category leaders to emerging brands – partner with the company to connect directly with consumers online, right at the point of purchase. With Instacart Health, the company is providing tools to increase nutrition security, make healthy choices easier for consumers, and expand the role that food can play in improving health outcomes. For more information, visit www.instacart.com/company, and to start shopping, visit www.instacart.com.

Company details

Company typeLarge
IndustryE-commerce & Online Marketplaces
Company size1001 - 5000

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Job description

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

Instacart’s Enterprise AI team is building the next generation of intelligent solutions for retailers. We are 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 will work at the intersection of engineering, machine learning, data science, product, consulting, and forward-deployed engineering. You will partner directly with retailers and internal stakeholders to define ambitious opportunities, shape technical strategy, and deliver innovative solutions in a rapidly evolving, zero-to-one product environment.

This is an opportunity to help establish a new area of innovation at Instacart while leading teams through the full product development lifecycle—from identifying customer needs and exploring emerging technologies to building, deploying, and scaling production-ready AI systems.

About the Job

  • Lead the engineering and machine learning strategy for agentic AI solutions designed to address the needs of Instacart’s retail partners.
  • Build, mentor, and inspire high-performing engineering and science teams, creating an environment that supports technical excellence, experimentation, and strong execution.
  • Partner directly with retailers, product leaders, consultants, data scientists, machine learning engineers, and forward-deployed engineers to translate complex business problems into impactful AI products.
  • Guide the development of systems that combine advanced machine learning, data, software engineering, and agentic capabilities, with an emphasis on reliability, scalability, usability, and measurable customer value.
  • Establish direction in a zero-to-one product space, balancing long-term technical strategy with the need to move quickly, learn from early deployments, and adapt to changing customer and business requirements.
  • Represent Enterprise AI across the organization, communicating tradeoffs, progress, risks, and opportunities to senior stakeholders and building alignment across technical and commercial teams.

You will be joining a fast-paced environment where the technology, customer needs, and product direction will continue to evolve. Success will require comfort with ambiguity, a willingness to engage deeply in both strategy and execution, and the judgment to make thoughtful decisions while building new capabilities from the ground up.

About You

Minimum Qualifications

  • Demonstrated experience building and deploying agentic AI, generative AI, or machine learning products in production environments.
  • Experience leading engineering, machine learning, 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 machine learning development practices, software engineering principles, data systems, and the operational considerations required to scale AI applications.
  • Demonstrated 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, machine learning platforms, or related areas of applied artificial intelligence.
  • Experience delivering applied machine learning products at significant scale, including systems used by external customers or business partners.
  • Experience leading cross-functional initiatives that span engineering, machine learning, data science, product, consulting, and customer-facing teams.
  • Experience working directly with retailers, commerce platforms, or other enterprise customers to translate operational challenges into technology solutions.
  • A track record of creating clarity and momentum in zero-to-one product environments while maintaining high standards for quality, responsible development, and customer impact.

#LI-Remote

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For Canadian based candidates, the base pay ranges for a successful candidate are listed below.

CAN$313,000—$330,500 CAD

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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