Lead Engineer Cyber AI - AI Expert

Target Target · Retail · NCD-0375 Brooklyn Park, MN

Lead Engineer for Cybersecurity AI Activation and Engineering team. Responsible for application architecture, designs, and implementing AI-powered capabilities within the cybersecurity domain. Focuses on evaluating new technologies, initiating research and proof-of-concept activities, and establishing standards for AI systems including LLMOps, reliability, and sustainability. Integrates AI/ML into production solutions, develops custom AI agents, and works with frameworks like LangChain and Huggingface.

What you'd actually do

  1. Serve as the technical anchor for engineering initiatives, creating, owning, and being responsible for application architecture and designs.
  2. Use technology acumen to apply and maintain knowledge of current and emerging AI technologies within the specialized cybersecurity domain.
  3. Evaluate new technologies and participate in decision-making and technical guidance to include viability within Target’s technical environment, maintainability, and cost of ownership.
  4. Initiate and execute research and proof-of-concept activities for new technologies.
  5. Establish new standards and best practices for AI systems to monitor, test, automate, and maintain with special considerations for LLMOps, solution reliability, and sustainability.

Skills

Required

  • Experience integrating AI and ML capabilities into production solutions
  • Experience developing custom AI agents
  • Experience working with LangChain, LangGraph, Google ADK, and Huggingface models
  • Demonstrated knowledge and interest in cybersecurity
  • 7+ years of software development experience with at least one full cycle implementation
  • Designs, develops, and approves end-to-end functionality of a product line, platform, or infrastructure
  • Experience in building highly scalable distributed systems

Nice to have

  • Demonstrated history of rapid prototyping, development and iterative delivery with tight coordination with internal customers
  • Demonstrates strong domain-specific knowledge regarding Target’s technology capabilities, and key competitors’ products and differentiating features
  • Demonstrates broad and deep expertise in multiple computer languages and frameworks (e.g., open source).
  • Communicates and coordinates with project team, partners, and stakeholders
  • Demonstrates expertise in analysis and optimization of systems capacity, performance, and operational health
  • Understands and develops solutions to foster data lifecycle management
  • Maintains deep technical knowledge within areas of expertise
  • Stays current with new and evolving technologies via formal training and self-directed education

What the JD emphasized

  • Core responsibilities of this job are described within this job description.
  • Core responsibilities of this job are described within this job description.

Other signals

  • integrating AI and ML capabilities into production solutions
  • developing custom AI agents
  • experience working with LangChain, LangGraph, Google ADK, and Huggingface models
  • LLMOps
  • cybersecurity domain