Target
Retail · Retail
- HQ
- Minneapolis, US
- Founded
- 1962
- Size
- 400,000+
- Website
- target.com
Currently tracking 25 active AI roles, down 87% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $75k–$356k (avg $183k).
Retail · Retail
Target currently has 28 active job listings related to artificial intelligence. The majority of these roles, 61%, are focused on agents, with data roles making up another 14%. Engineering is the primary function hiring for these positions, with the United States and India each accounting for 14 roles. Frequent technology tags include model serving, agent orchestration, and RAG, suggesting a focus on deploying and managing AI models. Over the last 30 days, Target has posted 20 new AI roles, representing an 82% increase compared to the previous 30-day period.
Target currently has 38 active AI-related roles in our index. The most common open titles are: Lead Operations Research Scientist (3), Sr Engineer - Target India (3), Director Product Management - Physical Intelligence, Director of Engineering - AI Security, Lead Data Scientist- AML. Most positions are in Engineering and Product.
Target's active AI hiring is concentrated in: agents (71%), serving infrastructure (11%), data (11%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Target is hiring AI talent in: United States (19 roles), India (19 roles).
Job postings at Target most frequently reference: agent orchestration, model serving, llm observability, rag, inference infra.
In the past 30 days, Target has posted 24 new AI-related roles. That is a +50% change versus the prior 30 days (16 → 24).
| Title | Stage | AI score |
|---|---|---|
| Lead Data Scientist- Comp Intel Lead Data Scientist for Competitive Intelligence team focused on competitor product matching using NLP, deep learning, transformers, and GenAI/Agentic AI (RAG, LLM agents, tool use). Role involves designing, developing, and productionizing AIML systems, owning technical direction, architecting end-to-end solutions, and mentoring a team. Requires expertise in modern ML, GenAI, Agentic AI, and production AIML systems. | AgentData | 9 |
| Senior Engineering Manager- Advanced AI Senior Engineering Manager for Advanced AI to lead a full-stack engineering team responsible for building, deploying, and maintaining high-quality AI/ML applications, including agentic architectures. The role involves guiding technical decisions across architecture, infrastructure, data, APIs, application design, reliability, observability, and security, while defining and evolving the technical roadmap for AI applications and mentoring engineers. |
| Agent |
| 8 |
| Sr. Data Scientist This role focuses on leading the design, development, and productionization of ML systems for e-commerce search, including query understanding, content understanding, retrieval, ranking, and ads/recommendations. It involves owning technical direction, architecting end-to-end solutions, and developing a multi-year vision for search and relevance capabilities. The role requires deep expertise in modern ML techniques, LLM adaptation, and agentic workflows, with a strong emphasis on delivering production ML systems at scale. | AgentServe | 8 |
| Lead Data Scientist- AML Lead Data Scientist role on the Generative AI team, focusing on designing, developing, deploying, and maintaining GenAI solutions. The role involves working with Multimodal LLMs, fine-tuning, and productionizing GenAI technologies to solve complex retail problems. Requires strong Python, SQL, Hadoop/Hive skills and experience with Deep Learning frameworks. | AgentPost-train | 8 |
| Sr Engineer - Target India 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 an emphasis on AI/LLM integration and automation. | Agent | 7 |
| Sr Data Analyst Sr Data Analyst role focused on developing and delivering AI-driven solutions, including GenAI and agentic approaches, to solve business problems across various domains like Marketing, Merchandising, and Supply Chain. The role involves translating business needs into analytical questions, applying advanced analytics, working with large datasets on platforms like GCP BigQuery and Spark, and contributing to AI-driven analytical workflows. Experience with RAG, prompt engineering, and integrating AI-agent workflows is required. | Agent | 7 |
| Lead Engineer - Gen AI 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. | Agent | 7 |
| Sr Engineer - Target India 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. | Agent | 7 |
| Lead Engineer - Target India-2 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. | Agent | 7 |
| Principal Engineer - Target India 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. | Agent | 7 |
| Lead Operations Research Scientist 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. | Agent | 7 |