Lead Engineer Cyber AI - AI Expert

Target

Hybrid

Quick summary

Work type: Hybrid
Location: Brooklyn Park, MN
Salary: $132,000–$238,000 / yr
Posted: 2 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $205k

This role $185k

$118k most similar roles pay here $260k

This role pays less than 64% of similar roles. Most pay $164,437–$246,150 — the shaded band above. At the midpoint, this role pays about $185k versus about $205k 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 56 open roles on FindRole.

Listed pay typically runs $98,000–$198,000 across 56 roles with salary data.

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View all roles at Target

At a glance

TL;DR · Lead Engineer Cyber AI - AI Expert

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As a lead engineer on Target’s Cybersecurity AI Activation and Engineering team, you will serve as the technical anchor for engineering initiatives, responsible for designing application architectures that meet both functional and non-functional needs. You will work closely with cybersecurity teams to understand their existing applications and systems, contributing to new AI-powered capabilities while ensuring they align with Target standards. Your role involves evaluating emerging technologies, providing thought leadership on scalable patterns, and participating in complex construction activities. Key responsibilities include developing custom AI agents, integrating AI and ML into production solutions, and establishing best practices for LLMOps and solution reliability. You will need expertise in rapid prototyping, tight coordination with internal customers, and experience with tools like LangChain, LangGraph, Google ADK, and Huggingface models. This role demands a deep understanding of cybersecurity and the ability to work across teams to foster data lifecycle management and scalable distributed systems.

Skills

Python Java C++ LangChain LangGraph Google ADK Huggingface Docker Kubernetes CI/CD AWS Azure GCP PostgreSQL MongoDB Scalability Security LLMOps DevOps AI ML

What you'll do

- Design and own application architecture for cybersecurity AI initiatives.
- Evaluate new AI technologies for integration into Target’s environment.
- Provide thought leadership to develop consistent, scalable patterns across teams.
- Lead complex construction, automation, and implementation activities for AI systems.
- Establish standards and best practices for monitoring and maintaining AI systems.
- Collaborate with cybersecurity teams to understand existing applications and processes.

What we're looking for

7+ years of software development experience with full cycle implementation.
Demonstrated history of rapid prototyping, development, and iterative delivery.
Expertise in integrating AI and ML capabilities into production solutions.
Experience developing custom AI agents and working with specific models.
Deep knowledge and interest in cybersecurity and AI technologies.
Broad and deep expertise in multiple programming languages and frameworks.

Lead AI Engineer

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Python TensorFlow PyTorch Kubernetes Docker AWS CI/CD Git Jupyter Notebook PostgreSQL MongoDB Scikit-learn Pandas NumPy Prometheus Grafana

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