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. Click here if you are curious to learn more about Minnesota.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_E
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 candidate.accommodations@HRHelp.Target.com. 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
