Sr AI Engineer - Advanced AI (applied ML, Gen AI, ML ops)

• 4-year degree or equivalent experience.
• 3+ 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, or agentic systems.
• Strong proficiency with Python and experience with AI/ML or deep learning frameworks such as PyTorch, TensorFlow, LangChain, LlamaIndex, 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, documentation, operational monitoring, and production support.
• Ability to break down business and technical requirements into clear engineering tasks and deliver practical solutions in collaboration with cross-functional partners.
• Strong communication skills, with the ability to explain technical concepts clearly to engineers, Data Scientists, product partners, and business stakeholders.
• Ability to work independently on defined workstreams, collaborate effectively with senior technical partners, and contribute to strong engineering practices within the team.
• Self-driven and results-oriented, with strong ownership, sound judgment, and the ability to move quickly while maintaining high technical standards.
• Collaborative team player with a commitment to continuous learning, knowledge sharing, and building reliable AI systems that create business value.

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.