Lead Engineer - Cybersecurity AI

Target • Brooklyn Park, MN

22h • Hybrid

About The Position

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. As a Lead Engineer on the Cybersecurity AI Activation and Engineering team, you serve as the technical anchor for engineering initiatives. You create, own and are responsible for the application architecture and designs that best serves the product in its functional and non-functional needs. You have deep and broad engineering skills and are capable of standing up an architecture in its whole on your own, but you choose to influence a wider team by acting as a “force multiplier”. This role will require working closely with cybersecurity teams to understand their existing applications and systems, operational processes, and contributing to new AI-powered capabilities up to Target standards. You will need to use your technology acumen to apply and maintain knowledge of current and emerging AI technologies within the specialized cybersecurity domain. Evaluate new technologies and participate in decision-making and technical guidance to include viability within Target’s technical environment, maintainability, and cost of ownership. Initiate and execute research and proof-of-concept activities for new technologies. You will work cross functionally across teams to provide thought leadership to promote re-use and develop consistent, scalable patterns. Participate in planning services that have broad impact. Contribute to foundational capabilities to enable AI or machine learning activities. You will be looked upon to provide suggestions for handling routine and moderately complex technical problems, escalating issues when appropriate. Gather information, data, and input from a wide variety of sources; identify additional resources when appropriate, engage with stakeholders, and conduct in-depth analysis of information. Develop plans and schedules, estimate resource requirements, and define milestones and deliverables. Monitor workflow and risks; play a leadership role in mitigating risks and removing obstacles. Lead and participate in complex construction, automation, and implementation activities, ensuring successful implementation with architectural and operational requirements met. Establish new standards and best practices for AI systems to monitor, test, automate, and maintain with special considerations for LLMOps, solution reliability, and sustainability. The AI space is evolving rapidly and we need strong technologists with a passion to stay current with industry and Target’s growing technical capabilities, infrastructure, frameworks, and environment. This role will also provide working patterns, templates, guidance, and influence data standards, policies, and procedures.

Requirements

• Demonstrated history of rapid prototyping, development and iterative delivery with tight coordination with internal customers
• Experience integrating AI and ML capabilities into production solutions
• Experience working with LangChain, LangGraph, Google ADK, and Huggingface models
• 4 year degree or equivalent experience
• 7+ years of software development experience with at least one full cycle implementation
• 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)
• Designs, develops, and approves end-to-end functionality of a product line, platform, or infrastructure
• 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
• Experience in building highly scalable distributed systems

Nice To Haves

• Prefer a full stack engineer who can prototype end to end solutions to include UI and backend components

Responsibilities

• Serve as the technical anchor for engineering initiatives
• Create, own and are responsible for the application architecture and designs that best serves the product in its functional and non-functional needs
• Influence a wider team by acting as a “force multiplier”
• Work closely with cybersecurity teams to understand their existing applications and systems, operational processes, and contributing to new AI-powered capabilities up to Target standards
• Use technology acumen to apply and maintain knowledge of current and emerging AI technologies within the specialized cybersecurity domain
• Evaluate new technologies and participate in decision-making and technical guidance to include viability within Target’s technical environment, maintainability, and cost of ownership
• Initiate and execute research and proof-of-concept activities for new technologies
• Work cross functionally across teams to provide thought leadership to promote re-use and develop consistent, scalable patterns
• Participate in planning services that have broad impact
• Contribute to foundational capabilities to enable AI or machine learning activities
• Provide suggestions for handling routine and moderately complex technical problems, escalating issues when appropriate
• Gather information, data, and input from a wide variety of sources; identify additional resources when appropriate, engage with stakeholders, and conduct in-depth analysis of information
• Develop plans and schedules, estimate resource requirements, and define milestones and deliverables
• Monitor workflow and risks; play a leadership role in mitigating risks and removing obstacles
• Lead and participate in complex construction, automation, and implementation activities, ensuring successful implementation with architectural and operational requirements met
• Establish new standards and best practices for AI systems to monitor, test, automate, and maintain with special considerations for LLMOps, solution reliability, and sustainability
• Provide working patterns, templates, guidance, and influence data standards, policies, and procedures

Benefits

• comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more
• 401(k)
• employee discount
• short term disability
• long term disability
• paid sick leave
• paid national holidays
• paid vacation
• competitive benefits from financial and education to well-being and beyond

What This Job Offers

• Job Type: Full-time
• Career Level: Senior