Sr Engineer - Agentic Data Platform

Relha LLC; Brooklyn Park, Northern (MN, KY); Hybrid; USD 98,000 - 176,000; Full time

Benefits offered by this job

Health benefits

401(k)

Job summary

Target is building the next generation of AI-enabled analytics and data access. As a Sr Engineer, you will design and implement the software behind Agent Fetch and the agentic data platform, collaborating on orchestration, metadata access, and security.

This hybrid role requires quick learning, independent work, and strong teamwork across teams. You will work with Python/Java, AI agents, LLMs, and data governance to deliver scalable analytics solutions in a fast-evolving space.

Qualifications

• 4-year degree in Quantitative disciplines or equivalent.
• MS in Computer Science, Machine Learning, AI, Applied Mathematics or related field preferred
• 3+ years of experience designing, developing, testing, and supporting software applications or platform services
• Proficiency in Python or Java with ability to learn additional languages

Responsibilities

• Design and build software and platform capabilities for AI-enabled analytics.
• Collaborate across agent orchestration, data access, and semantic models.
• Ensure security and compliant data governance patterns.
• Develop APIs and distributed systems to support enterprise analytics.
• Participate in evaluation and observability for LLM- or agent-based systems.
• Diagnose complex issues and iteratively improve solutions.
• Document technical approaches and tradeoffs.
• Work with teams across stakeholders and engineers.

Skills

Python

Java

AI agents

LLM apps

Agent orchestration

Distributed systems

APIs

Security patterns

Problem solving

Collaboration

Education

4-year degree in quantitative disciplines

MS in CS/ML/AI or related field

Tools

LangGraph

LookML

Power BI

dbt

Semantic models

Job description

The pay range is $98,000.00 - $176,000.00

Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation.Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

About Us:

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.

About the Role:

The Agentic Analytics team is building the next generation of AI-enabled analytics and data access at Target. Our 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.

About you:

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 LangGraph

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. Click here if you are curious to learn more about Minnesota.

Benefits Eligibility

Americans with Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to [emailprotected] . Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.