Target
Retail · Retail
- HQ
- Minneapolis, US
- Founded
- 1962
- Size
- 400,000+
- Website
- target.com
Retail · Retail
Currently tracking 25 active AI roles, down 87% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $75k–$356k (avg $183k).
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 |
|---|---|---|
| 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 |
| Sr Applied Data Scientist - Search and Browse (Applied ML, NLP, LLMs) Sr. Applied Data Scientist for Target's Search and Browse team, focusing on building and deploying ML models for relevance, retrieval, ranking, and personalization systems in e-commerce. The role involves applying modern ML techniques like embeddings, transformers, RAG, and GenAI to improve product discovery, semantic search, and customer engagement on a large scale with strict performance requirements. | AgentServe | 8 |
| Principal Applied Data Scientist - Search and Browse (NLP, Vector Search, LLMs) Principal Data Scientist role focused on building and scaling AI-native commerce discovery systems for Target's digital experience. This involves architecting search and data systems for LLM ingestion, building zero-shot discovery systems, solving natural language search problems, and evolving multi-stage retrieval and ranking architectures. The role emphasizes engineering excellence, low latency, operational reliability, and infrastructure economics, with a focus on integrating with external LLM and agentic search ecosystems. | AgentServe | 8 |
| 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 |
| Lead Machine Learning Engineer - Merchandising AI (ML Ops) Lead Machine Learning Engineer responsible for creating and optimizing data and models for merchandising AI products. This role involves designing, implementing, and optimizing production ML solutions, understanding software design best practices, and participating in code reviews. The engineer will also lead the development of agentic AI solutions that integrate data, tools, APIs, and business rules into decisioning workflows, and mentor other engineers. | AgentServe | 7 |
| Director Product Management - Physical Intelligence Director of Product Management for Physical Intelligence at Target, focusing on turning physical environment signals (computer vision, RFID, smart building) into reusable intelligence capabilities. The role involves setting strategic vision, managing a team of product owners, driving product discovery, and leveraging data and analytics to deliver innovative solutions. Requires deep understanding of AI/ML concepts and experience building enterprise capabilities. | Agent | 7 |
| Sr Engineer - AI Platform Think Tank (Python, Java, Gen AI, Agentic AI) Senior Engineer role focused on building and scaling AI platform capabilities at Target, specifically involving GenAI and agent-based systems. The role involves end-to-end feature development, platform solutions, production support, and advancing responsible AI adoption. Key responsibilities include designing, building, and integrating GenAI applications and agentic workflows, improving prompting and tool usage, and evaluating emerging AI technologies. | Agent | 7 |
| Sr Engineer - Malware Reverse Engineering (AI-Augmented Analysis) 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. | Agent | 7 |
| Sr Product Manager – Pricing 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. | Agent | 7 |
| Principal Engineer – Store Optimization 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. | AgentEval Gate | 7 |
| Lead Engineeer - Threat Hunting & Countermeasures 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. | Agent | 7 |
| Sr Engineer - Cybersecurity AI Activation and Engineering 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. | Agent | 7 |
| Lead Engineer - Cybersecurity AI 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. | Agent | 7 |