Sr AI Engineer - Advanced AI; ML Ops, LLMs, Agentic workflows

Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.

Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation.

Find competitive benefits from financial and education to well-being and beyond at

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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 AI Engineer for Advanced AI, you will help build, deploy, and maintain AI/ML applications that support automation, insight, and action across core business workflows. You will work closely with Data Scientists, engineers, product partners, platform teams, security teams, and business stakeholders to turn well-defined and moderately ambiguous business problems into practical technical solutions.

In this role, you will contribute hands-on to the development of production-grade AI applications. You will write maintainable, well-tested code, support model and framework integration, build APIs and services, develop data and application workflows, and contribute to deployment, monitoring, documentation, and production support. You will help ensure AI applications are secure, reliable, maintainable, and aligned to Target’s enterprise standards for infrastructure, platform architecture, data handling, and operational readiness.

You will also partner with Lead and Principal Engineers to evaluate technical options, identify implementation risks, resolve engineering roadblocks, and improve reusable AI engineering patterns. This role requires curiosity and continuous learning, including staying current with developments in AI, machine learning, LLMs, agentic systems, and modern software engineering practices. A successful Senior AI Engineer will help deliver high-quality AI applications that create measurable business value while contributing to the technical strength of the team.

Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.

4-year degree or equivalent experience.

5+ years of hands-on software engineering experience, including experience building or supporting production systems.

Experience developing AI/ML applications including LLM-powered applications, applied machine learning solutions, data-intensive applications, intelligent automation capabilities and agentic systems at scale

Strong proficiency with Python and experience with AI/ML or deep learning frameworks such as PyTorch, Tensor Flow, Lang Chain, Llama Index, Semantic Kernel or similar tools

Experience working with model APIs, prompt orchestration, retrieval-augmented generation, evaluation approaches, observability tools, cloud platforms, containers or orchestration technologies

Understanding of system design, application architecture, model and framework tradeoffs, experimentation, evaluation, performance optimization and production deployment considerations for AI systems

Experience building maintainable and well-tested services, APIs, data pipelines, applications or platforms

Experience with version control, CI/CD, code review practices,…