Sr Engineering Manager - Advanced AI; Applied ML, LLMs, Deep Learning)(Remote Or Hybrid

The pay range is $ - $.

Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.

Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well‑being and beyond at

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Target’s Advanced AI team builds end‑to‑end AI/ML systems that create meaningful business value across the enterprise. These systems may be powered by LLMs, classical machine learning, or deep learning models and are designed as scalable, reliable, production‑grade applications, including agentic architectures where they add clear value.

As a Sr Engineering Manager for Advanced AI, you will lead a full‑stack engineering team responsible for building, deploying, and maintaining high‑quality AI/ML applications. Your team will include AI/ML Engineers, Full‑Stack Software Engineers and Data Engineers working closely with Applied Data Scientists, Product partners, platform teams, security teams and business stakeholders. You will guide technical decisions across architecture, infrastructure, data, APIs, application design, reliability, observability, and security, while ensuring solutions comply with Target’s enterprise requirements for infrastructure, platform architecture, security, data handling, and operational readiness.

You will also help define and evolve the technical roadmap for AI applications, balancing speed, quality, scalability, maintainability and business impact. This role requires strong coaching and talent development, including mentoring engineers across AI/ML engineering, full‑stack software engineering and data engineering. You will manage multiple stakeholders and leader expectations by creating clarity around priorities, risks, tradeoffs, dependencies and outcomes. You will also stay current with developments in AI, machine learning, LLMs, agentic systems, and enterprise AI patterns, helping the team apply relevant advances thoughtfully.

A successful Sr Engineering Manager in this role will help develop, own, and maintain multiple scalable AI applications that create measurable business value.

Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.

• 4-year degree or equivalent industry experience
• 7+ years of engineering experience including hands‑on software development experience
• 3+ years of experience managing engineering teams with a strong track record of delivering complex, cross‑functional technology initiatives
• Experience leading or working closely with teams of Data Scientists, AI/ML Engineers, Software Engineers and Data Engineers
• Strong technical understanding of modern AI/ML application development including building and operating end‑to‑end systems in production (ML Ops)
• Demonstrated experience with LLM‑powered applications, agentic architectures, applied machine learning systems, data‑intensive applications, or intelligent automation solutions
• Strong proficiency with Python programming - experience with additional languages such as Java, Kotlin, Go, Type Script, or similar a plus
• Experience designing, building and operating scalable APIs, services, data pipelines, applications and data platforms
• Strong understanding of cloud infrastructure, CI/CD, observability, reliability engineering, secure software development and enterprise…