Senior AI Engineer - Circlecard

Senior AI Engineer (Backend Platform) – Circle Card Account Services (CAS)

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and inclusive culture.

As a Senior AI Engineer, you'll combine deep software engineering expertise with modern AI application development to build intelligent, scalable, and highly reliable systems. You'll serve as a technical leader, shaping application architecture, influencing implementation decisions, and establishing engineering best practices.

You are equally comfortable designing distributed services and applying Generative AI technologies to solve complex engineering and business problems. You leverage strong software engineering fundamentals to build production-grade AI capabilities that are secure, observable, scalable, and cost-efficient.

About the Team:
Circle Card Account Services (CAS)

The Circle Card Account Services (CAS) team builds and operates the enterprise API platform powering Target's Circle Card ecosystem. Our platform serves as the central gateway for Circle Card account management, new account booking, payments, servicing, compliance processing, and partner integrations.

CAS owns a mission-critical platform that enables secure, high-volume financial and non-financial operations across Target. Our services power nearly every aspect of the Circle Card account lifecycle and integrate with numerous enterprise systems.

Current initiatives include:

• Building AI-ready platform capabilities and MCP-based tools and services.
• Expanding shared platform capabilities, including distributed caching and reusable platform services.
• Improving API performance, scalability, resiliency, and observability to support significant traffic growth.
• Building AI-powered engineering productivity capabilities.
• Automating engineering and operational workflows through intelligent AI agents.

As AI becomes a foundational capability across Target, CAS is investing in intelligent engineering platforms and AI-powered solutions that improve developer productivity, automate operational workflows, and enhance platform reliability.

What You'll Do

AI Engineering

• Leverage AI-assisted software development tools throughout the software development lifecycle, including solution design, implementation, testing, debugging, documentation, and code reviews.
• Collaborate effectively with AI coding assistants and enterprise AI platforms to improve engineering productivity while maintaining high standards for code quality, security, architecture, and maintainability.
• Apply sound engineering judgment to validate AI-generated code and technical recommendations through testing, peer reviews, and established software engineering practices.
• Design and build production AI-powered applications using Target-approved AI platforms, frameworks, and Large Language Models (LLMs) to solve engineering and business problems.
• Design, build, and deploy production-grade autonomous and agentic AI systems capable of reasoning, planning, tool orchestration, memory management, and multi-step workflow execution.
• Develop domain-specific AI agents and multi-agent workflows using modern orchestration frameworks to automate engineering processes and enhance retail and enterprise experiences.
• Design and implement prompt engineering and Context Engineering strategies to improve application quality, reliability, and relevance.
• Build Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge sources, vector search technologies, and semantic retrieval.
• Optimize AI applications for response quality, latency, throughput, token utilization, and inference cost.
• Implement AI evaluation frameworks and apply responsible AI, security, privacy, governance, and observability best practices.
• Build reusable AI components, frameworks, libraries, workflows, and engineering accelerators that improve developer productivity.
• Evaluate emerging AI capabilities, lead proof-of-concept initiatives, and recommend adoption strategies that deliver measurable business value.
• Partner across engineering teams to integrate AI capabilities into products, platforms, and software…