Lead Engineer Cyber AI

Target

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Brooklyn Park, MN
Salary
$132,000–$238,000 / yr
Posted
32 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $204k
This role $185k
$118k most similar roles pay here $260k

This role pays less than 56% of similar roles. Most pay $161,500–$246,150 — the shaded band above. At the midpoint, this role pays about $185k versus about $204k 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.

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View all roles at Target

At a glance

TL;DR · Lead Engineer Cyber AI

Lead Engineer Cyber AI - AI Expert serves as the technical anchor for the Cybersecurity AI Activation and Engineering team. This role is responsible for designing application architectures, establishing standards for LLMOps, and developing scalable patterns to integrate AI-powered capabilities into existing cybersecurity systems. The engineer will conduct research, execute proof-of-concept activities, and manage complex construction and automation tasks while ensuring solution reliability and sustainability. Key technical requirements include experience with LangChain, LangGraph, Google ADK, and Huggingface models, alongside expertise in building highly scalable distributed systems and developing custom AI agents. The role requires a deep understanding of the cybersecurity domain to solve problems related to system capacity, performance, and operational health. Candidates must possess extensive knowledge of multiple programming languages and frameworks to deliver end-to-end functionality within a rapidly evolving technical environment.

What you'll do

  • Design and own application architectures that meet functional and non-functional requirements for cybersecurity products.
  • Integrate AI and machine learning capabilities into production solutions, including the development of custom AI agents.
  • Evaluate emerging AI technologies to determine their viability, maintainability, and cost of ownership within the corporate environment.
  • Execute research and proof-of-concept activities for new technologies in the specialized cybersecurity domain.
  • Establish standards and best practices for LLMOps, solution reliability, and the automation of AI systems.
  • Develop scalable patterns and provide technical leadership to promote reuse across cross-functional teams.
  • Manage project lifecycles by defining milestones, estimating resources, and mitigating risks during implementation.
  • Analyze and optimize system capacity, performance, and operational health for distributed systems.

What we're looking for

  • A 4-year degree or equivalent experience is required.
  • Candidates must have at least 7 years of software development experience including at least one full cycle implementation.
  • Experience integrating AI and ML capabilities into production solutions is required.
  • Experience developing custom AI agents is required.
  • Proficiency with LangChain, LangGraph, Google ADK, and Huggingface models is required.
  • Demonstrated knowledge and interest in the cybersecurity domain is required.
  • Expertise in building highly scalable distributed systems is required.
  • Candidates must possess broad and deep expertise in multiple computer languages and frameworks.

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