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