Sr Engineering Manager - Advanced AI (applied Ml, Llms, Deep Learning)

Target Target · Retail · NCD-0375 Brooklyn Park, MN

Sr Engineering Manager for Advanced AI team responsible for building, deploying, and maintaining end-to-end AI/ML systems, including LLM-powered and agentic architectures. The role involves leading a full-stack engineering team, guiding technical decisions, defining roadmaps, and managing stakeholders to deliver scalable AI applications with measurable business value.

What you'd actually do

  1. lead a full-stack engineering team responsible for building, deploying, and maintaining high-quality AI/ML applications
  2. guide technical decisions across architecture, infrastructure, data, APIs, application design, reliability, observability, and security
  3. help define and evolve the technical roadmap for AI applications, balancing speed, quality, scalability, maintainability and business impact
  4. manage multiple stakeholders and leader expectations by creating clarity around priorities, risks, tradeoffs, dependencies and outcomes
  5. stay current with developments in AI, machine learning, LLMs, agentic systems, and enterprise AI patterns, helping the team apply relevant advances thoughtfully

Skills

Required

  • 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 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
  • 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

Nice to have

  • experience with additional languages such as Java, Kotlin, Go, TypeScript, or similar a plus

What the JD emphasized

  • end-to-end AI/ML systems
  • LLM-powered applications
  • agentic architectures
  • applied machine learning systems
  • production (ML Ops)

Other signals

  • end-to-end AI/ML systems
  • LLMs
  • agentic architectures
  • production-grade applications
  • ML Ops