Principal AI Engineer focused on building and scaling advanced AI capabilities, including agentic and LLM-powered systems, for enterprise-wide automation and optimization. The role involves deep technical leadership, end-to-end solution design, deployment, and establishing robust engineering practices for production AI applications.

Lead Engineer for GenAI at Target, focusing on designing and implementing autonomous AI agents with multi-step reasoning, task planning, and tool usage. The role involves leading development of agent orchestration frameworks, applying LLMs, building evaluation systems, implementing safety mechanisms, and creating data pipelines for training and inference. It emphasizes productionizing GenAI capabilities and adopting emerging technologies within an enterprise retail context.

Senior Engineer focused on Malware Reverse Engineering, leveraging AI-augmented analysis to triage samples, validate machine-generated analysis, and investigate complex malware. The role involves developing reverse engineering skills, analyzing attacker tradecraft, and translating insights into durable detections. Responsibilities include reviewing AI analysis results, identifying inaccuracies, refining analysis, triaging large sample sets, performing targeted reverse engineering on critical code paths, analyzing obfuscation techniques, understanding exploit patterns, and contributing to detection logic development using tools like YARA. The role also involves working with automated analysis pipelines and using Python scripting to enhance tooling.

Sr Data Scientist role focused on Global Supply Chain and Logistics, leveraging operations research, simulation, and machine learning to develop and deploy optimization and ML algorithms at scale. Requires strong computer science fundamentals, experience with production deployments, and proficiency in mathematical modeling and programming languages.

This role focuses on applying ML, LLMs, and NLP to improve search ranking within a consumer domain. The primary responsibility is to deploy end-to-end ML models and algorithms into production, with a secondary focus on the inference path. The role requires strong Python programming, experience with MLOps, SQL, and knowledge of search indexing and ranking.

Sr. Product Manager for Pricing at Target, focusing on enterprise-wide price management. This role involves leading the vision, strategy, and roadmap for price decisioning, including expanding the use of AI and explainability for algorithmic recommendations. The product manager will partner with data science, operations, and engineering teams to develop business cases and deliver a flagship Price Product. Experience with forecasting, clustering, and GenAI is required.

Lead ML Engineer for Target's personalization and recommendation systems on Target.com and the Target App. Focus on designing, implementing, and optimizing production ML solutions, including data pipelining, model optimization, deployment, and API design. Requires strong Python, ML frameworks, cloud ML services, distributed training, serving frameworks, and CI/CD experience. Will mentor junior team members and collaborate with cross-functional teams.

Principal Engineer role focused on defining and driving unified architecture for a store optimization platform. This involves leading the evolution towards intelligent task orchestration, establishing multi-objective optimization frameworks, and ensuring end-to-end system integrity. The role requires embedding observability, guardrails, and explainability into AI-driven systems, and partnering across teams to drive scalable platform design. Experience building and productionizing AI/GenAI systems, including LLMs, RAG, prompting, evaluation, and guardrails, is critical.

Lead Engineer for Threat Hunting & Countermeasures role at Target, focusing on proactive, hypothesis-driven threat hunting using large-scale security datasets, statistical methods, and machine learning. The role involves developing and operationalizing production-ready detections and countermeasures to identify novel or evasive threats, and collaborating with various security teams.

Senior Engineer role focused on integrating AI/ML capabilities into cybersecurity operational processes and applications at Target. The role involves evaluating new AI technologies, prototyping, and developing AI-powered solutions, with a focus on LLMOps and production deployment.

Lead Engineer for Cybersecurity AI Activation and Engineering team, responsible for application architecture and designs for AI-powered capabilities within cybersecurity. Will evaluate new technologies, conduct research and proof-of-concept activities, and contribute to foundational AI/ML capabilities. Focus on LLMOps, solution reliability, and sustainability.