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

About the role

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.

Requirements

• 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

Qualifications

• Passionate about driving innovation and delivering impactful solutions
• Proven track record of success in leading and growing teams
• Ability to communicate effectively with technical and non-technical stakeholders
• Experience with LLMs, deep learning, and applied machine learning systems
• Strong understanding of cloud infrastructure and CI/CD practices
• Experience with agile methodologies and continuous delivery

Skills

• Strong technical skills in Python and related languages
• Experience with cloud platforms and infrastructure
• Knowledge of agile development methodologies
• Experience with data pipelines and observability tools
• Excellent problem-solving and analytical skills

Benefits

Benefits Eligibility

Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_EAmericans

Beware of hiring scams

Target will never ask you to submit personal information via a text message for a position. Target will only ask you to apply for positions through corporate.target.com/careers, or Workday, our applicant tracking system.

Competitive benefits

We are proud to provide benefits that support you, your family and your future.

Health and well-being

Financial well-being

Paid time off

Education assistance

Market-leading pay

Team Target discount

Creating a culture of joy

We bring out the best in each other every day.

Inclusivity

We value diverse voices and approaches. We act with authenticity and respect. We create equitable experiences for all.

Connection

We build trusted relationships. We collaborate across business functions. We recognize and celebrate progress.

Drive

We do what is right for Target, our team and guests. We deliver results that matter. We continually learn by valuing progress over perfection.

Grow with Target

We are fully invested in your personal and professional growth because our people are our power.

Team news

Stories of our Target team members in action.

Want to receive job alerts?

Stay up-to-date with relevant Target opportunities sent right to your inbox.