Director, Enterprise AI & Machine Learning Engineering

Instacart

. Lead the engineering and machine learning strategy for agentic AI solutions for Instacart’s retail partners .

Posted 9/28/2026full-timeRemote • United StatesLead💰 $261,000 - $330,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading engineering and machine learning strategies to develop and deploy agentic AI solutions. Capable of guiding cross-functional teams through the product development lifecycle while effectively communicating with stakeholders.

Highest-signal resume keywords

Agentic AI DevelopmentMachine Learning Product DeploymentTeam Leadership in EngineeringCross-Functional CollaborationTechnical Direction Setting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningSoftware Engineering PrinciplesData SystemsApplied Artificial IntelligenceGenerative AILarge Language ModelsAI Product DevelopmentScalable Systems DesignOperational ConsiderationsProduct Development Lifecycle

Soft Skills

MentoringInspiring TeamsManaging AmbiguityDelivering ResultsCreating Clarity

Industry Keywords

Retail PartnershipsEnterprise AICustomer-Facing SolutionsZero-to-One Product DevelopmentCross-Functional Initiatives

About the role

Key responsibilities & impact

Lead the engineering and machine learning strategy for agentic AI solutions for Instacart’s retail partners
Build, mentor, and inspire high-performing engineering and science teams
Partner with retailers and internal stakeholders to translate complex business problems into impactful AI products
Guide development of reliable, scalable, usable systems combining machine learning, data, software engineering, and agentic capabilities
Establish direction in a zero-to-one product space while balancing long-term strategy with rapid execution and adaptation
Represent Enterprise AI across the organization by communicating tradeoffs, progress, risks, and opportunities to senior stakeholders
Lead teams through the full product development lifecycle, from identifying customer needs and exploring technologies to building, deploying, and scaling production-ready AI systems

Requirements

What you’ll need

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 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: Deep technical expertise in agentic systems, large language models, machine learning platforms, or related areas of applied artificial intelligence
Preferred: Experience delivering applied machine learning products at significant scale
Preferred: Experience leading cross-functional initiatives spanning engineering, machine learning, data science, product, consulting, and customer-facing teams
Preferred: Experience working directly with retailers, commerce platforms, or other enterprise customers
Preferred: Track record of creating clarity and momentum in zero-to-one product environments
No educational credential is required; education is marked optional

Benefits

Comp & perks

Flexible work location: home, office, or favorite coffee shop
Regular in-person events
New hire equity grant
Annual refresh grants
Market-competitive compensation and benefits