Lead AI Engineer -- Advanced AI (applied ML, LLMs, agentic AI, ML Ops)
Core
Design, build, deploy, and maintain production-grade AI/ML applications (LLMs, agentic systems) that automate workflows and provide insights across Target's enterprise.
Role type
Lead AI Engineer (Advanced AI)
Builds
Scalable, reliable AI/ML applications and agentic architectures for enterprise business workflows.
Domain
Retail / Applied Machine Learning & LLMs
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, LangChain, LlamaIndex, Semantic Kernel, system design, CI/CD, cloud ML platforms, container orchestration, prompt orchestration, RAG, observability, model evaluation
Preferred skills
MS in CS/ML/AI, experience with data-intensive applications, mentoring engineers
Technologies
Python, PyTorch, TensorFlow, LangChain, LlamaIndex, Semantic Kernel
Responsibilities
Design and architect AI/ML systems; write production-quality code; establish engineering practices for testing and deployment; mentor AI engineers; translate business problems into technical solutions.
Seniority
Senior, hands-on IC with leadership responsibilities