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 Director of Search (Data Sciences & Engineering) at Target, leading a global organization of 60+ to build and evolve the end-to-end Search ecosystem. The role focuses on technical strategy, AI innovation, and operational excellence for query understanding, semantic retrieval, ranking systems, relevance AI, search platform architecture, evaluation frameworks, and conversational/agentic search capabilities. Key responsibilities include defining technical vision, leading the transition to agentic search, advancing AI capabilities (embeddings, transformers, RL, LLM reasoning), building AI systems for intent understanding and RAG, establishing evaluation frameworks, driving responsible AI and governance, and partnering with product and engineering leadership. Requires advanced degree, 16+ years of experience in production ML/AI systems, deep expertise in Search/IR, and proven leadership experience.

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.

Senior Engineer role focused on integrating LLMs and GenAI into core applications, building systems for AI reliability, and developing agentic frameworks for automation. Requires strong Java backend experience, microservices, and cloud platforms, with a focus on scalable and resilient systems.

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.

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.

Lead Engineer role focused on integrating GenAI and LLMs into core applications, building agentic frameworks, and improving AI reliability. Requires strong backend engineering skills in Java/Python, microservices, and cloud platforms, with an emphasis on building scalable and resilient AI-powered systems.

Product Manager for an Enterprise AI Platform team focused on AI Context Services. The role involves evolving platform services for GenAI and agentic applications, including Enterprise Search, RAG, Memory, and Connectors. The goal is to build an Enterprise Context Graph for context-aware intelligence. Responsibilities include owning product strategy, roadmap, discovery, stakeholder alignment, and driving adoption.

Senior Engineer role focused on integrating LLMs and GenAI features into core applications, building agentic frameworks, and improving AI reliability within an enterprise retail context. Requires strong backend development skills in Java/Python, microservices, and cloud technologies, with a focus on AI integration and automation.

Lead Engineer responsible for integrating LLMs and Generative AI into core applications, building and scaling agentic frameworks, and implementing safeguards for AI reliability within an enterprise platform.

Principal Engineer role focused on building and scaling agentic AI capabilities within the Merchandising portfolio at Target. This involves owning the technical strategy for AI/agentic features, architecting cloud-native systems, designing agent orchestration flows, delivering production LLM solutions with measurable outcomes, establishing evaluation and quality gates, implementing safety controls, and enabling platform adoption at scale. The role requires influencing cross-team technical direction and mentoring engineers.

Lead Operations Research Scientist at Target, focusing on supply chain network optimization. This role involves developing and applying advanced operations research techniques, AI, and machine learning to solve complex business challenges, including simulations, scenario analyses, and optimization methods. Requires strong programming skills (Python, PySpark, R, SQL), experience with large datasets, and working with LLMs and modern ML frameworks. The role emphasizes stakeholder engagement, problem framing, data analysis, and effective communication of insights.

Target's Roundel media business is seeking a Category Analytics Lead to own the category-level insight agenda and act as a strategic thought partner. This role involves translating complex data into scalable insights that shape category direction, inform go-to-market decisions, and drive measurable performance outcomes. Requires deep category expertise, strong analytical rigor, and the ability to influence decisions without direct people leadership. The role requires hands-on experience building and applying statistical and predictive models, understanding of the digital media marketplace, and advanced SQL/Excel/PowerPoint skills.

Senior Engineer role focused on endpoint security, leveraging GenAI and automation to develop and enhance security controls, improve operational efficiency, and build robust data pipelines. The role involves leading the evaluation, testing, and implementation of security tools, supporting existing products, and researching best practices.

Senior Engineer on the Enterprise Collaboration team responsible for developing and supporting solutions including chat, content management, and personal digital assistance (GenAI). The role involves applying and maintaining knowledge of current and emerging technologies, evaluating new technologies, and initiating research and proof-of-concept activities. Responsibilities include leading design, lifecycle management, and cost of ownership of services, conducting code and design reviews, and providing technical oversight. The role also emphasizes embedding data quality protocols.