Lead Engineer Cyber AI - AI Expert

About the role

The pay range is $132,000.00 - $238,000.00. Pay is based on several factors including labor markets, education, work experience, and certifications. In addition to your pay, Target offers comprehensive health benefits, including medical, vision, dental, life insurance, and more, along with other benefits like a 401(k), employee discount, short-term and long-term disability, paid sick leave, national holidays, and vacation.

Responsibilities

• Create, own, and be responsible for the application architecture and designs that best serve the product in its functional and non-functional needs.
• Stand up an architecture in its whole on your own, but 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 contribute to new AI-powered capabilities up to Target standards.
• Evaluate new technologies and participate in decision-making and technical guidance, including 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, promoting re-use and developing consistent, scalable patterns.
• 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.

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 developing custom AI agents.
• Demonstrated knowledge and interest in cybersecurity.
• 4-year degree or equivalent experience.
• 7+ years of software development experience with at least one full-cycle implementation.
• Broad and deep expertise in multiple computer languages and frameworks (e.g., open source).
• Strong domain-specific knowledge regarding Target’s technology capabilities, and key competitors’ products and differentiating features.
• Expertise in analysis and optimization of systems capacity, performance, and operational health.
• Experience in building highly scalable distributed systems.