Lead Full Stack Engineer - AI Platform Team

Target; Brooklyn Park (MN); Hybrid; USD 132,000 - 238,000; Full time

Benefits offered by this job

Health benefits

401(k)

Paid time off

Job summary

Target is seeking a Lead Full Stack Engineer for the AI Data Platform Team in Minnesota. You will provide technical leadership, design scalable full-stack capabilities, and drive agent development, orchestration, evaluation, observability, sandboxing, and production execution.

You will lead cross-functional collaboration with Product, UX, Data Science, and Architecture to deliver enterprise-grade AI/ML platform services and tooling while ensuring security and governance across cloud-native

Qualifications

• 4-year degree or equivalent experience.
• 7+ years of full stack software engineering with technical leadership.
• Strong programming in Java, Kotlin, Go, or Python.
• Experience building frontend with React and TypeScript.
• Experience with AI/ML or GenAI applications using LLMs or agents.
• Designing scalable distributed systems and microservices.
• Experience with containers, Kubernetes, and cloud-native development.
• Ability to mentor engineers and influence architecture across teams.
• Knowledge of Responsible AI, governance, security, and privacy.

Responsibilities

• Lead architecture and development of scalable full-stack solutions for agent orchestration and evaluation.
• Build lifecycle management, context/memory, tool integration, and sandbox execution capabilities.
• Create intuitive experiences for building and managing AI agents and workflows.
• Integrate LLMs, AI agents, enterprise tools, and external systems with guardrails.
• Develop platform APIs, SDKs, and developer tools for AI-powered applications.
• Develop evaluation and observability capabilities including metrics, tracing, and dashboards.
• Ensure enterprise standards for security, governance, privacy, and reliability.

Skills

4-year degree

5+ years experience

Full stack engineering

Java

Kotlin

Go

Python

React

TypeScript

Distributed systems

AI/ML & GenAI

Cloud-native / Kubernetes

CI/CD

Mentoring & leadership

Education

B.S. in Computer Science or related field

Tools

Kubernetes

React

TypeScript

CI/CD tooling

GCP/AWS/Azure

Job description

The pay range is $132,000.00 - $238,000.00

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.

JOIN TARGET AS A LEAD FULL STACK ENGINEER - AI DATA PLATFORM TEAM

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

As a Lead Engineer on the AI/ML and Agent Platform team, you will provide technical leadership and design and build enterprise-grade full-stack capabilities for agent development, orchestration, evaluation, observability, sandboxing, and production execution. You will work at the intersection of distributed systems, platform engineering, GenAI, and modern application development to create scalable and intuitive agentic experiences.

Key Responsibilities

• Lead the architecture and development of scalable full-stack solutions for agent orchestration, execution, evaluation, and monitoring


• Build reusable capabilities for agent lifecycle management, context and memory, tool integration, model and prompt configuration, secure sandbox execution, and workflow orchestration


• Develop intuitive experiences for building, testing, orchestrating, and managing AI agents and workflows


• Integrate LLMs, AI agents, enterprise tools, and external systems into reliable production-grade solutions with appropriate guardrails


• Build APIs, SDKs, platform services, and developer tools that enable teams to create, test, deploy, and operate intelligent agents


• Develop evaluation and observability capabilities including testing, quality metrics, tracing, monitoring, dashboards, and debugging


• Ensure solutions meet enterprise standards for security, governance, privacy, reliability, and auditability


• Partner with Product, UX, Data Science, Architecture, and engineering teams to define and deliver platform capabilities


• Drive scalability, resiliency, performance, and cost efficiency across cloud-native systems


• Provide technical direction, mentor engineers, and establish engineering standards for AI/ML and agentic systems

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 or equivalent experience


• 7+ years of full stack software engineering experience including technical leadership of complex systems and initiatives


• Strong programming skills in Java, Kotlin, Go, or Python


• Strong experience building end-to-end applications across backend services/APIs and modern frontend technologies such as React and TypeScript


• Experience building production AI/ML or GenAI applications using LLMs, agents, or agentic workflows


• Strong experience designing scalable distributed systems, APIs, and microservices architectures


• Deep understanding of system design, scalability, reliability, security, and observability


• Experience with containers, Kubernetes, CI/CD, and cloud-native development


• Experience with agent orchestration, tool calling, prompt management, context management, memory, and multi-agent systems


• Experience building evaluation frameworks for LLMs or AI agents


• Experience with secure sandboxing or isolated execution environments for AI agents


• Knowledge of AI tracing, observability, monitoring, and debugging


• Experience with RAG, vector databases, semantic search, embeddings, or model gateways


• Experience developing platform APIs, SDKs, or reusable developer tooling


• Understanding of Responsible AI, governance, guardrails, security, and privacy


• Experience with GCP, AWS, or Azure cloud


• Demonstrated ability to lead technical initiatives, mentor engineers, and influence architecture across teams


• Self-driven and results-oriented, with strong ownership, sound judgment, and the ability to move quickly while maintaining high technical standards


• Collaborative team player with a commitment to continuous learning, knowledge sharing, and building reliable AI-powered applications that create business value

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.

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 [e-mail]. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.

Application deadline is : 11/19/2026