Sr Engineering Manager - Advanced AI (Applied ML, LLMs, Deep Learning)

Target

Remote Hybrid

Quick summary

Work type
Remote
Location
Remote
Salary
$132,000–$238,000 / yr
Posted
7 days ago
Closes
Jul 10, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $216k
This role $185k
$117k most similar roles pay here $277k

This role pays less than 76% of similar roles. Most pay $186,025–$246,150 — the shaded band above. At the midpoint, this role pays about $185k versus about $216k 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 49 open roles on FindRole.

Listed pay typically runs $115,000–$211,000 across 49 roles with salary data.

Most-posted roles

View all roles at Target

At a glance

TL;DR · Sr Engineering Manager - Advanced AI (Applied ML, LLMs, Deep Learning)

As a Senior Engineering Manager on Target’s Advanced AI team, you will lead a full-stack engineering team responsible for developing high-quality AI/ML applications that drive significant business impact. Your daily responsibilities include guiding technical decisions across architecture, infrastructure, data handling, and security while ensuring compliance with enterprise standards. You will define the technical roadmap, balancing speed, quality, scalability, and maintainability, and mentor engineers in AI/ML engineering, full-stack software development, and data engineering. The role requires expertise in Python, along with proficiency in languages like Java or Go, and experience with cloud infrastructure, CI/CD pipelines, observability tools, and secure software practices. You will work on LLM-powered applications, agentic architectures, and intelligent automation solutions within a large enterprise ecosystem, staying current with AI advancements to drive innovation and business value.

What you'll do

  • Lead full-stack engineering team in building, deploying, and maintaining high-quality AI/ML applications.
  • Guide technical decisions on architecture, infrastructure, data handling, APIs, application design, reliability, observability, and security.
  • Define and evolve the technical roadmap for AI applications to balance speed, quality, scalability, maintainability, and business impact.
  • Mentor engineers across AI/ML engineering, full-stack software engineering, and data engineering to foster talent development.
  • Manage multiple stakeholders and leader expectations by creating clarity around priorities, risks, tradeoffs, dependencies, and outcomes.
  • Stay current with developments in AI, machine learning, LLMs, agentic systems, and enterprise AI patterns.

What we're looking for

  • Over 7 years of engineering experience with hands-on software development.
  • Proven track record managing cross-functional teams in complex technology initiatives.
  • Expertise in modern AI/ML application development and ML Ops.
  • Experience with LLM-powered applications, agentic architectures, and intelligent automation.
  • Strong proficiency in Python and additional languages like Java or Go.
  • Deep understanding of cloud infrastructure, CI/CD, observability, and secure software development.
  • Excellent communication skills to explain technical concepts to various stakeholders.

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