Lead AI Engineer

Target

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Brooklyn Park, MNSunnyvale, CA
Salary
$132,000–$286,000 / yr
Posted
25 days ago
Freshness
Confirmed live yesterday
Closes
Sep 25, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $215k
This role $209k
$114k most similar roles pay here $304k

This role pays less than 61% of similar roles. Most pay $184,756–$246,150 — the shaded band above. At the midpoint, this role pays about $209k versus about $215k for comparable roles.

Based on 240 similar postings.

Employer

About Target

Target Corporation is a large-format general merchandise and grocery retailer offering a wide assortment of everyday essentials, apparel, home goods, and electronics through stores and online. Industry: General Merchandise Retail

Target currently has 58 open roles on FindRole.

Listed pay typically runs $98,000–$176,000 across 58 roles with salary data.

Most-posted roles

View all roles at Target

At a glance

TL;DR · Lead AI Engineer

Lead AI Engineer -- Advanced AI (applied ML, LLMs, agentic AI, ML Ops) joins the Advanced AI team to build end-to-end machine learning systems that provide measurable business value across enterprise workflows. This role involves designing, building, and maintaining production-grade applications powered by large language models, classical machine learning, and deep learning models, including agentic architectures. The engineer will translate ambiguous business problems into scalable technical solutions while providing hands-on leadership in architecture, model evaluation, and engineering practices like CI/CD and observability. Key technologies include Python, PyTorch, TensorFlow, LangChain, LlamaIndex, and Semantic Kernel. Candidates must also possess expertise in prompt orchestration, retrieval-augmented generation, containerization, and cloud ML platforms. The role focuses on creating automated, reliable systems that solve complex business problems through advanced AI engineering and high-quality code production within a collaborative technical environment.

What you'll do

  • Design, build, deploy, and maintain production-grade AI/ML systems using LLMs, deep learning, and agentic architectures.
  • Translate ambiguous business problems into practical, scalable technical solutions for core business workflows.
  • Write maintainable, production-quality code while establishing engineering practices for testing, deployment, and observability.
  • Evaluate model frameworks, tools, and infrastructure to ensure applications are secure and meet enterprise standards.
  • Partner with cross-functional teams to identify implementation risks and resolve technical roadblocks.
  • Develop reusable AI engineering patterns and contribute to the overall technical direction of the team.
  • Mentor other engineers and improve the quality of engineering practices across the organization.

What we're looking for

  • A 4-year degree in a Quantitative discipline (STEM) or equivalent industry experience is required.
  • An MS in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, or a related technical field is preferred.
  • Candidates must have 5+ years of hands-on experience developing end-to-end applied machine learning and AI/ML applications.
  • Experience building LLM-powered applications, agentic systems, data-intensive applications, or intelligent automation capabilities is required.
  • Proficiency in Python and experience with frameworks like PyTorch, TensorFlow, LangChain, LlamaIndex, or Semantic Kernel is required.
  • Experience with model APIs, prompt orchestration, RAG, evaluation frameworks, cloud ML platforms, and container orchestration is required.
  • Strong understanding of system design, application architecture, performance optimization, and production deployment for AI systems is required.
  • Ability to mentor engineers, lead technical direction, and translate ambiguous business problems into clear technical solutions is required.

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