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

Target is a company focused on helping families discover the joy of everyday life. They are seeking a Senior Engineering Manager for their Advanced AI team to lead a full-stack engineering team in building and maintaining high-quality AI/ML applications that deliver business value.

Responsibilities:

• Lead a full-stack engineering team responsible for building, deploying, and maintaining high-quality AI/ML applications
• Guide technical decisions across architecture, infrastructure, data, APIs, application design, reliability, observability, and security
• Define and evolve the technical roadmap for AI applications, balancing speed, quality, scalability, maintainability and business impact
• Coach and mentor engineers across AI/ML engineering, full-stack software engineering and data engineering
• Manage multiple stakeholders and leader expectations by creating clarity around priorities, risks, tradeoffs, dependencies and outcomes
• Stay current with developments in AI, machine learning, LLMs, agentic systems, and enterprise AI patterns

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