Sr Engineer - Agentic Data Platform

Join Target As A Sr Engineer – Agentic Data Platforms

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

The Agentic Analytics team is building the next generation of AI-enabled analytics and data access  work goes beyond traditional Gen AI and natural-language querying. We are building an enterprise agentic analytics layer that connects people and agents to trusted analytical data, governed business metrics, contextual insights and analytical workflows.

As a Sr Engineer on this team, you will help design and build the software and platform capabilities behind Agent Fetch and the broader agentic data platform. You will work across agent orchestration, data and metadata access, semantic models, evaluation, observability, security, and the services that allow both users and other agents to safely interact with enterprise analytical data.

This is a highly collaborative engineering role on a team working in a rapidly evolving technical space. You will be expected to learn unfamiliar domains quickly, work independently when appropriate, pair with others when useful, and iterate as both the technology and our product strategy evolve.

Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.

• 4-year degree in Quantitative disciplines (Science, Tech, Engineering, Mathematics) or equivalent industry experience required; MS in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics or a related technical field preferred
• 3+ years of experience designing, developing, testing, and supporting software applications or platform services
• Demonstrated proficiency programming in Python or Java with the ability to become productive in additional languages and frameworks
• Demonstrated experience with AI agents, LLM applications, tool use, planning, or multi-step agent workflows
• Experience with agent orchestration frameworks such as Lang Graph
• Evaluation and observability for LLM- or agent-based systems
• Knowledge of retrieval, context management, structured tool interfaces, or MCP-based architectures
• Experience with data platforms, analytical data systems, metadata, lineage, or data governance
• Experience with semantic layers, governed metrics, LookML, Power BI semantic models, dbt or similar technologies
• Demonstrated experience with distributed systems, event-driven architectures, APIs, or platform engineering
• Experience with security and authorization patterns for data- or AI-enabled applications
• Strong problem-solving skills, including the ability to diagnose complex behavior, identify root causes, test hypotheses, and iteratively improve a solution
• Experience breaking a technical problem into components and independently delivering meaningful portions of a larger solution
• An understanding of software design fundamentals and the ability to document a technical approach and explain the tradeoffs behind your decisions
• Experience with automated testing and an understanding of production observability, debugging, and operational reliability
• The ability to quickly learn unfamiliar business and technical domains through research, experimentation, and collaboration
• Strong collaboration and communication skills, including comfort pairing with other engineers and working across teams.

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day.

Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.  if you are curious to learn more about Minnesota.