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.
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 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 Director Data Sciences 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. | AgentServe | 8 |
| Principal Data Scientist - Advanced Machine Learning Principal Data Scientist role focused on designing, developing, and deploying generative AI solutions, including working with Multimodal LLMs and fine-tuning them. The role involves analyzing large datasets, contributing to research, and collaborating with AI/ML engineers to productionize GenAI solutions for retail use cases. | Post-trainAgent | 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 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 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 |
| Lead Data Analyst Lead Data Analyst role at Target, focusing on leveraging AI and advanced analytics to drive strategic decisions across various business domains like Marketing, Merchandising, and Supply Chain. The role involves translating business problems into analytical approaches, designing and developing AI-driven solutions (including GenAI and Agentic approaches), working with large datasets on platforms like GCP BigQuery and Spark, and evaluating AI workflows for quality and business impact. Emphasis on responsible AI practices and influencing business stakeholders with data-driven insights. | AgentEval Gate | 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 Engineer - Target India 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. | Agent | 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 |
| Sr Product Manager - Enterprise AI Platform 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. | Agent | 7 |
| Lead Data Scientist- Content Creation Lead Data Scientist for the Content Creation team, focusing on building and deploying AI solutions using GenAI, computer vision, and traditional ML for marketing and site content use cases. Responsibilities include end-to-end ownership of algorithmic solutions, from data understanding and feature engineering to model development, validation, testing, and production deployment. The role involves collaborating with cross-functional teams, mentoring junior members, and driving technical strategy. | ShipData | 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 |
| 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 |
| Sr Data Scientist- Search This role focuses on designing, building, and integrating systems for e-commerce search, leveraging NLP, deep learning, classical ML, and LLMs to improve query understanding, ranking, relevance, and external search capabilities. The goal is to develop a multi-year vision for search on Target.com. | Ship | 7 |
| Sr AI Engineer-AdTech Sr AI Engineer role focused on AdTech, involving the definition, development, and integration of modules for algorithmic decision making within an ad serving tech platform. The role requires expertise in machine learning, probability theory, statistics, optimization, deep learning, NLP, or computer vision, with a focus on owning the design and implementation of algorithmic solutions from data understanding to production deployment. Responsibilities include driving problem statements, defining metrics, evaluating model tradeoffs, developing data pipelines, articulating technical strategy, and mentoring junior team members. | Serve | 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 |
| Sr Engineer - Target India Senior Engineer role focused on developing and enhancing applications for endpoint security at Target. The role involves using GenAI, AI code agents, and traditional software development (Java, Springboot, PostgreSQL) to improve the efficiency of design, architecture, and software development, ultimately securing hundreds of thousands of endpoints. | Agent | 5 |
| Lead Process Engineer Lead Process Engineer responsible for process diagnostics, problem-solving, and identifying operational improvements using lean and six sigma tools. This role will partner with cross-functional teams to enable the leverage of intelligent automation tools (RPA, Chatbot, AI/ML, GenAI) to drive efficiency and guest experience, and will also be involved in training and coaching on process improvement methodologies. | — | 5 |
| Sr Product Manager - Marketplace Product Manager for Target's marketplace, focusing on seller tools and engagement. The role involves defining strategy, owning the Seller Portal, and driving seller behavior through data-driven and AI/ML powered insights to improve marketplace quality and seller success. Requires experience in building and scaling marketplaces and strong cross-functional collaboration. | — | 5 |
| Engineer - Target India Full Stack Engineer role focused on building and maintaining full-stack applications that support AI/ML workflows, integrating AI/ML models into production systems, and developing backend services using Python and Java. The role is within the VisionML team, working on AI-powered computer vision solutions for store operations and guest experience. | Serve | 5 |
| Sr Engineer - Target India (End Point Security) 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. | Agent | 5 |
| Lead Fulfilment Optimization Manager Lead Operations Research Manager at Target, focusing on last-mile fulfillment and delivery strategy. The role involves identifying growth opportunities, designing decision systems, and blending operations research, simulation, and data science to improve last-mile performance. Key responsibilities include leading last-mile strategy, building decision models at scale, and driving cross-functional delivery. The role requires experience in Python, SQL, operations research techniques, and applying ML/AI where appropriate. | — | 2 |
| Data Analyst Data Analyst role at Target, focusing on marketing, merchandising, supply chain, operations, and finance. The role involves collaborating with business leaders to derive insights from data, develop reports and dashboards, and apply foundational predictive and diagnostic analytics. Responsibilities include querying large datasets using SQL and platforms like GCP BigQuery, supporting data pipeline development, and communicating findings. While the role mentions AI summaries and basic understanding of GenAI/LLMs, its core function is data analysis and business intelligence, not AI/ML model development. | — | 1 |
| Sr Product Manager - T+ Item Charter Sr Product Manager for Target+'s (Marketplace) Item Charter, focusing on seller engagement, compliance, and performance. This role involves defining strategy for the Seller Portal, owning seller lifecycle management, and driving behavior change through data-driven interventions and AI/ML powered insights. Requires strong product judgment, systems thinking, and cross-functional collaboration to deliver scalable solutions for sellers. | — | 1 |
| Sr Engineer - Ad Tech Senior Engineer for Target's AdTech platform, focusing on designing and architecting high-throughput, low-latency systems for ad serving. Requires expertise in distributed systems, AdTech protocols, and core Java/Spring Boot stack. Collaborates with Product and Data Science teams to deliver scalable AdTech capabilities. | — | 0 |
| Analyst Marketplace Partner Performance This role focuses on analyzing and improving seller performance on an e-commerce marketplace. The Analyst will define key performance metrics, develop dashboards, generate insights, and provide recommendations to drive seller growth, profitability, and overall marketplace performance. Responsibilities include partner performance analytics, growth enablement, profitability assessment, strategic decision support, and reporting automation. | — | 0 |
| Engineer - Target India-8 Software Engineer role focused on building and improving backend services, microservices, distributed systems, and data pipelines. The role involves designing and developing APIs, writing production-ready code, monitoring systems, and participating in code reviews. While not core to the role, there is exposure to GenAI/ML capabilities, including LLM APIs, prompt engineering, RAG, embeddings, vector databases, and agent-based frameworks. | — | 0 |
| Sr Engineer Senior Engineer at Target, a large retail company, focusing on software development, application architecture, and system design. The role involves evaluating new technologies, leading design and implementation, ensuring robust and scalable systems, and providing technical oversight. It emphasizes strong problem-solving skills, code quality, and staying current with technology trends within the retail domain. | — | 0 |
| Vendor Manager Vendor Manager responsible for executing vendor strategy, driving vendor performance, and ensuring service delivery across multiple partner sites. Acts as the primary point of contact for onsite vendor leadership, managing projects, and providing updates on performance, milestones, risks, and opportunities. Drives process improvements, operational efficiencies, and supports financial oversight. Partners closely with internal business teams and support groups. | — | 0 |
| Sr Engineer - Backend Senior Engineer role at Target focused on backend development, application architecture, and building scalable systems. Responsibilities include evaluating new technologies, leading design and implementation, code reviews, and ensuring data quality. The role requires strong software development experience and the ability to influence engineering teams. | — | 0 |
| Analyst Performance and Insights This role focuses on analyzing advertising campaign performance and insights for a retail media network. Responsibilities include reporting, trend analysis, identifying upsell opportunities, understanding measurement methodologies, and correlating data from various sources to improve guest experience and campaign effectiveness. The analyst will work with raw data, generate insights, and make recommendations for optimization and future plans. Requires strong analytical, Excel, and data visualization skills. | — | 0 |
| Lead UX Designer Lead UX Designer at Target, focusing on designing new retail experiences, evolving existing ones, and enriching user experiences for enterprise applications. The role involves full design process ownership, leveraging data and user needs, and collaborating with various teams to ensure cohesive and valuable solutions for both guests and team members. | — | 0 |
| Sr Engineer This is a Senior Engineer role at Target, focused on general software development, architecture, and system design. The role involves applying software engineering patterns, developing robust and scalable systems, evaluating new technologies, and providing technical oversight. It does not appear to be directly involved in building or researching AI/ML models. | — | 0 |
| Sr Product Designer Senior Product Designer responsible for building empathy for the Target Guest throughout the product development lifecycle for Target’s web, app and registry product teams, and also working on enterprise-level tools supporting internal operations. This role involves supporting Product Designers, Product Managers, and Engineering for digital and in-store experiences, conducting qualitative research, synthesizing findings, and building wireframes and interactive prototypes within agile sprints. | — | 0 |
| Lead Engineer Lead Engineer responsible for application architecture, technical leadership, and driving architectural changes to improve feature development and service quality. Focuses on evaluating and implementing new technologies, designing scalable distributed systems, and managing the full lifecycle of services. Also involved in data modeling and management. | — | 0 |
| Sr. Engineer Sr. Engineer role focused on penetration testing and DAST for Target's applications and PCI assets. Responsibilities include managing the testing lifecycle, identifying vulnerabilities, consulting with teams, and owning the DAST program. Requires strong knowledge of security tools and scripting abilities. | — | 0 |
| Sr Engineer - Ad Tech Senior Data Engineer responsible for designing, developing, and maintaining robust data pipelines, distributed systems, and large-scale data platforms. This role involves building and optimizing foundational datasets using Big Data technologies and collaborating with cross-functional teams to translate requirements into data products. | — | 0 |
| Lead Compliance Consultant Lead Compliance Consultant at Target, focused on privacy monitoring and controls assurance within the Privacy & Responsible AI function. This role translates privacy obligations into testable controls and monitoring procedures, partnering with the Responsible AI Observability function to evaluate privacy implications of AI-enabled use cases. The position requires end-to-end monitoring execution, documentation, reporting, and acting as a trusted advisor on privacy risk. | — | 0 |
| Principal Engineer - Target India Principal Engineer responsible for setting the strategy and direction for software development and infrastructure engineering at Target. This role involves leading design, development, and operationalization of engineering efforts, mentoring technical talent, and building high-performing teams. The focus is on API design, scalability, availability, performance, and advocating for agile and DevOps practices. | — | 0 |
| Sr Engineer - Ad Tech Senior Engineer role focused on Ad Tech platforms (DSP, SSP, Ad Servers) for self-service advertising needs. Responsibilities include setting technology strategy, assessing build/buy decisions, leading engineering efforts, and providing technical leadership. Requires strong software development experience, understanding of Ad Tech fundamentals, and proficiency in Java/Spring, microservices, databases, and Kafka. | — | 0 |
| Product Manager - Roundel Product Manager for Reporting APIs within Target's media and advertising business (Roundel). This role focuses on owning the API strategy, consumer experience, and platform readiness, partnering with Engineering and Data Science to ensure reliability and scalability. The goal is to treat Reporting APIs as a first-class product surface. | — | 0 |
| Sr Designer TP This role focuses on leading the maintenance and development of store planning drawing files and documents through the Design Development phases, particularly for complex projects. The individual will collaborate with business partners to ensure drawings and layouts adhere to Target's guidelines and standards, taking on complex projects, quality assurance, and SME responsibilities. The role also involves leading work efforts and special projects while managing multiple projects, and developing, training, and coaching team members. | — | 0 |