Sr Engineering Manager Advanced AI (Applied ML, LLMs, Deep Learning)

Pay is based on several factors which vary based on include labor markets and in some instancesmay include education work experience and 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 benefits for eligible team members include 401(k) employee discount short term disability long term disability paid sick leave paid national holidays and paid competitive benefits from financial and education to well-being and beyond at TARGET AS A SR ENGINEERNG MANAGER ADVANCED AI

About Target:

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture.Learn more about Target here.

About the role:

Targets 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 Targets 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.

About you:

• 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 TypeScript 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 technology standards
• Excellent written and verbal communication skills with the ability to explain complex technical concepts to engineers applied data scientist stakeholders and Sr leadership
• Demonstrated ability to manage ambiguity align stakeholders influence technical direction and drive clarity across competing priorities
• Passion for coaching mentoring talent development and building inclusive high-performing global engineering teams
• Successful track record of working in large enterprise technology ecosystems leading complex technology teams
• Deep understanding of agile development processes and methodology including continuous integration and delivery with a mindset of building incrementally and delivering business value quickly

Benefits Eligibility

In compliance with state and federal laws Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process please reach out to Non-accommodation-related requests such as application follow-ups or technical issues will not be addressed through this channel.