Target
Retail · Retail
- HQ
- Minneapolis, US
- Founded
- 1962
- Size
- 400,000+
- Website
- target.com
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 35 active AI-related roles in our index. The most common open titles are: Lead Operations Research Scientist (3), 3D Designer, Director of Engineering - AI Security, Lead AI Engineer -- Advanced AI (applied ML, LLMs, agentic AI, ML Ops), Lead Applied Data Scientist - Digital Item RecSys (applied ML, deep learning). Most positions are in Engineering.
Target's active AI hiring is concentrated in: agents (69%), data (11%), application (9%). 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 (20 roles), India (15 roles).
Job postings at Target most frequently reference: agent orchestration, llm observability, model serving, rag, fine tuning.
In the past 30 days, Target has posted 26 new AI-related roles. That is a +30% change versus the prior 30 days (20 → 26).
Currently tracking 25 active AI roles, down 75% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $75k–$356k (avg $183k).
Retail · Retail
| 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 |
| Principal AI Engineer - Advanced AI (Machine Learning, Python, Deep Learning) 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. | AgentServe | 9 |
| Lead Engineer - GenAI 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. | AgentServe | 9 |
| Lead AI Engineer -- Advanced AI (applied ML, LLMs, agentic AI, ML Ops) Lead AI Engineer responsible for designing, building, deploying, and maintaining end-to-end AI/ML systems, including LLM-powered applications and agentic architectures. Focuses on creating scalable, reliable, production-grade applications that deliver business value, with an emphasis on strong engineering practices, system design, and collaboration. | Agent | 8 |
| Lead Engineer- Advanced AI Lead Engineer for Target's Advanced AI team, responsible for designing, building, deploying, and maintaining end-to-end AI/ML systems, including LLM-powered applications and agentic architectures. Focuses on production-grade, scalable, and reliable applications, providing technical leadership, contributing to architecture, and ensuring strong engineering practices across development, testing, deployment, and observability. | AgentServe | 8 |
| Sr Engineering Manager - Advanced AI (Applied ML, LLMs, Deep Learning) Sr Engineering Manager for Advanced AI team responsible for building, deploying, and maintaining end-to-end AI/ML systems, including LLM-powered and agentic architectures. The role involves leading a full-stack engineering team, guiding technical decisions, defining roadmaps, and managing stakeholders to deliver scalable AI applications with measurable business value. | 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 Data Scientist - Advanced Machine Learning Senior Data Scientist role focused on designing, developing, deploying, and maintaining data science models and tools, with a strong emphasis on Generative AI and Multimodal LLMs. The role involves contributing to research, enhancing model performance, fine-tuning LLMs, and collaborating with AI/ML engineers to build GenAI solutions for retail applications. | Post-trainAgent | 8 |
| Sr Applied Data Scientist - Personalization (applied ML, PyTorch, RecSys) Sr. Applied Data Scientist focused on building and augmenting AI-driven digital Recommendation products at Target. Responsibilities include data exploration, implementing algorithmic solutions, deploying to production, and analyzing performance. Requires experience with deep learning frameworks (PyTorch), recommendation/personalization systems, Python, SQL, and large-scale data platforms like Spark. Experience with generative AI tools is also mentioned. | Ship | 7 |
| Lead Engineer - Modernization Team Lead Engineer for the Target Technology Modernization team, focused on transforming legacy systems using Generative AI, LLMs, and prompt engineering. Responsibilities include application architecture, driving architectural changes, evaluating new technologies, leading research and proof-of-concept activities, and implementing scalable software solutions. Requires hands-on experience with LLM ecosystems, GenAI patterns, and frameworks like LangGraph/LangChain, with a focus on RAG and Agentic AI. | Agent | 7 |
| Sr Engineer -Advanced AI Senior AI Engineer role focused on building, deploying, and maintaining end-to-end AI/ML systems, including LLM-powered and agentic applications, for enterprise business value. Requires strong software engineering skills, experience with AI/ML frameworks, and understanding of production AI system design and deployment. | Agent | 7 |
| Lead Applied Data Scientist - Digital Item RecSys (applied ML, deep learning) Lead Data Scientist focused on building and scaling machine learning systems for digital item recommendations and personalization at Target. The role involves technical leadership, model development, evaluation, deployment, and mentoring, with a focus on driving guest and business impact through algorithmic solutions. | Ship | 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 an emphasis on AI/LLM integration and automation. | Agent | 7 |
| Lead Engineer Cyber AI - AI Expert Lead Engineer for Cybersecurity AI Activation and Engineering team. Responsible for application architecture, designs, and implementing AI-powered capabilities within the cybersecurity domain. Focuses on evaluating new technologies, initiating research and proof-of-concept activities, and establishing standards for AI systems including LLMOps, reliability, and sustainability. Integrates AI/ML into production solutions, develops custom AI agents, and works with frameworks like LangChain and Huggingface. | AgentServe | 7 |
| Lead Engineer Cyber AI - Cybersecurity Lead Engineer for Cybersecurity AI Activation and Engineering team at Target. This role involves serving as a technical anchor for engineering initiatives, creating and owning solutions, and ensuring they meet functional and non-functional needs. The engineer will work closely with cybersecurity teams to understand existing systems and contribute to new AI-powered capabilities, applying knowledge of emerging AI technologies within the cybersecurity domain. Responsibilities include evaluating new technologies, initiating research and proof-of-concept activities, providing thought leadership, and contributing to foundational AI/ML capabilities. The role requires experience in cybersecurity domains like security operations, incident response, or threat detection, and a strong background in software development (Python) and building scalable distributed systems. | Agent | 7 |
| Sr Engineer - Agentic Commerce Senior Engineer role focused on building agentic commerce experiences using technologies like Kotlin, Micronaut, Python, and LangGraph. The role involves developing agentic commerce gateways, shopping agents, RAG solutions, and intelligent digital agents for personalized shopping experiences across various platforms. | Agent | 7 |
| Sr AI Engineer-Item Science Sr AI Engineer role focused on developing and deploying algorithmic solutions for Target's AdTech platform, including customer relevancy, bidding strategy, and click-through rate modeling. Requires strong programming skills and experience in building large-scale systems. | ShipServe | 7 |
| Sr Machine Learning Engineer - Marketing and Corporate Systems (ML Ops) Sr. Machine Learning Engineer focused on MLOps for marketing and corporate systems at Target. This role involves implementing, deploying, and optimizing ML solutions in production, with a focus on personalization and audience creation. Responsibilities include data pipelining, model optimization, deployment, API design, CI/CD pipelines, and collaboration with cross-functional teams. | Serve | 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 Operations Research Scientist Lead Operations Research Scientist at Target, focusing on supply chain optimization using advanced mathematical techniques, AI, ML, and simulations. The role involves problem structuring, data analysis, model development, and project delivery to improve efficiency and profitability. | Serve | 7 |
| Sr Data Scientist - Global Supply Chain and Logistics 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. | Data | 7 |
| Sr Operations Research Analyst This role focuses on applying operations research, machine learning, and AI techniques to solve complex supply chain problems, involving data analysis, model development, and insight generation for a large retail company. | Data | 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 |
| Lead Operations Research Scientist Lead Operations Research Scientist at Target, focusing on supply chain optimization using advanced mathematical techniques, AI, and machine learning. The role involves developing and applying these techniques to solve complex business challenges, working with large datasets, and collaborating with cross-functional stakeholders to deliver measurable impact. | Serve | 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 |
| 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 |