below marketmost similar roles pay hereabove market
This role pays less than
68%
of similar roles. Most pay
$176,500–$223,750
— the blue band above.
At the midpoint, this role pays about
$185k
versus about
$200k
for comparable roles.
Based on 240 similar postings.
Employer
About Target
Target Corporation is a large-format general merchandise and grocery retailer offering a wide assortment of everyday essentials, apparel, home goods, and electronics through stores and online. Industry: General Merchandise Retail
Target currently has
72 open roles
on FindRole.
Listed pay typically runs
$98,000–$176,000
across 55 roles with salary data.
Lead Full Stack Engineer - AI Platform Team
As a Lead Engineer on the AI/ML and Agent Platform team, you will provide technical leadership to design and build enterprise-grade full-stack capabilities for agent development, orchestration, evaluation, observability, sandboxing, and production execution. You will build reusable capabilities for agent lifecycle management, context, memory, and tool integration while developing intuitive experiences for managing AI workflows. Your daily work involves integrating LLMs and agents into reliable production solutions using Java, Kotlin, Go, or Python, alongside React and TypeScript. You will design scalable distributed systems, microservices, and APIs using Kubernetes and cloud-native development. The role focuses on solving complex problems in GenAI, including RAG, vector databases, semantic search, and establishing robust guardrails for responsible AI governance and security.
Lead the architecture and development of scalable full-stack solutions for agent orchestration, execution, and monitoring.
Build reusable capabilities for agent lifecycle management, context, memory, tool integration, and secure sandbox execution.
Develop intuitive experiences for building, testing, and managing AI agents and workflows.
Integrate LLMs and AI agents into production-grade solutions with appropriate security guardrails.
Build APIs, SDKs, and platform services that enable teams to deploy and operate intelligent agents.
Develop evaluation and observability capabilities including quality metrics, tracing, and debugging dashboards.
Ensure all solutions meet enterprise standards for security, governance, privacy, and auditability.
Provide technical direction and mentor engineers to establish engineering standards for AI/ML systems.
What we're looking for
A 4-year degree or equivalent experience is required.
7+ years of full stack software engineering experience including technical leadership of complex systems and initiatives is required.
Strong programming skills in Java, Kotlin, Go, or Python are required.
Strong experience building end-to-end applications across backend services/APIs and modern frontend technologies such as React and TypeScript is required.
Experience building production AI/ML or GenAI applications using LLMs, agents, or agentic workflows is required.
Strong experience designing scalable distributed systems, APIs, and microservices architectures is required.
Experience with containers, Kubernetes, CI/CD, and cloud-native development is required.
Experience with agent orchestration, tool calling, prompt management, context management, memory, and multi-agent systems is required.