Sr AI Engineer - Advanced AI

Target; Brooklyn Park (MN); Hybrid; USD 98,000 - 176,000; Full time

Benefits offered by this job

Comprehensive health benefits

401(k)

Employee discount

Short term disability

Long term disability

Paid sick leave

Paid national holidays

Paid vacation

Benefits from education and well-being

Job summary

Target is building production-grade AI/ML systems on its Advanced AI team, delivering automation and insights across core workflows. The role blends hands-on development with deployment of AI applications, including LLM-powered solutions, in collaboration with Data Scientists and cross-functional teams.

You’ll contribute to APIs, services, data workflows, and production monitoring while ensuring security, reliability, and maintainability aligned with Target’s standards.

Qualifications

• Bachelor's degree or equivalent experience.
• 3+ years of hands-on software engineering, including production systems.
• Experience building AI/ML applications including LLM-powered systems.
• Strong proficiency in Python.
• Experience with AI/ML frameworks such as PyTorch, TensorFlow, LangChain, LlamaIndex, Semantic Kernel.
• Experience with APIs, prompt orchestration, deployment and observability.
• Ability to break down requirements and deliver practical solutions with cross-functional partners.

Responsibilities

• Build, deploy, and maintain AI/ML applications enabling automation, insight, and action across workflows.
• Translate business problems into practical technical solutions with data scientists and partners.
• Contribute hands-on development of production-grade AI applications and services.
• Write maintainable, well-tested code.
• Support model/framework integration, including APIs and services.
• Develop data and application workflows and contribute to deployment, monitoring, and production support.
• Collaborate with senior engineers to evaluate options and mitigate risks.
• Ensure AI applications meet security, reliability, and maintainability expectations.

Skills

Python

PyTorch

TensorFlow

LangChain

LlamaIndex

Semantic Kernel

Education

4-year degree

Job description

Build production-grade AI/ML systems on Target’s Advanced AI team, delivering automation, insight, and action across core business workflows. This hybrid/flex role supports hands-on development and deployment of AI applications, including LLM and agentic systems, alongside cross-functional partners to create measurable business value. You’ll work with established engineering practices to help ensure solutions are secure, reliable, maintainable, and aligned to Target’s enterprise standards.

What you’ll do

• Build, deploy, and maintain AI/ML applications that enable automation, insight, and action across business workflows
• Translate well-defined and moderately ambiguous business problems into practical technical solutions in collaboration with Data Scientists, engineers, product partners, platform teams, security teams, and business stakeholders
• Contribute hands‑on development of production‑grade AI applications and related services
• Write maintainable, well‑tested code
• Support model and framework integration, including building APIs and services
• Develop data and application workflows, and contribute to deployment, monitoring, documentation, and production support
• Partner with Lead and Principal Engineers to evaluate technical options, identify implementation risks, resolve engineering roadblocks, and improve reusable AI engineering patterns
• Help ensure AI applications meet expectations for security, reliability, maintainability, and operational readiness

What you bring

• 4-year degree or equivalent experience
• 3+ years of hands‑on software engineering experience, including building or supporting production systems
• Experience developing AI/ML applications, including LLM‑powered applications, applied machine learning, data‑intensive applications, intelligent automation capabilities, or agentic systems
• Strong proficiency in Python
• Experience with AI/ML or deep learning frameworks such as PyTorch, TensorFlow, LangChain, LlamaIndex, Semantic Kernel, or similar tools
• Experience with model APIs, prompt orchestration, retrieval‑augmented generation, evaluation approaches, observability tools, cloud platforms, containers, or orchestration technologies
• Understanding of system design and application architecture, including model/framework tradeoffs and production deployment considerations
• Experience building maintainable, well‑tested services, APIs, data pipelines, applications, or platforms
• Experience with version control, CI/CD, code review practices, documentation, operational monitoring, and production support
• Strong communication skills and the ability to explain technical concepts to engineers, Data Scientists, product partners, and business stakeholders
• Ability to break down requirements into clear engineering tasks and deliver practical solutions with cross‑functional partners
• Self‑driven, results‑oriented ownership with strong judgment and the ability to move quickly while maintaining high technical standards

Technologies

Python, PyTorch, TensorFlow, LangChain, LlamaIndex, Semantic Kernel

Compensation

The pay range is $98,000.00 - $176,000.00 per year.

Location and work setup

Brooklyn Park, MN (hybrid). This position will operate as a hybrid/flex for your day‑to‑day work arrangement based on Target’s needs, requiring core role activities both onsite at the Target HQ MN location and virtually depending on the role, team, and tasks. Work duties cannot be performed outside the country of the primary work location unless otherwise prescribed by Target.

Benefits

• Comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more
• 401(k)
• Employee discount
• Short term disability
• Long term disability
• Paid sick leave
• Paid national holidays
• Paid vacation
• Benefits from financial and education to well‑being and beyond

Benefits eligibility and accommodations

Please paste this URL into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D

• Target will make reasonable accommodations for applicants with disabilities.
• If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to [e-mail].