Lead Full Stack Engineer - AI Platform Team

The pay range is $ - $

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

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.

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.

• 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.

• 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 Type Script
• 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…