Senior AI Engineer - Circlecard

The pay range is $98,000.00 - $176,000.00 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 . Senior AI Engineer (Backend Platform) –   CircleCard   Account Services (CAS)   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 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:   CircleCard   Account Services (CAS)   The   CircleCard   Account Services (CAS) team builds and   operates   the enterprise API platform powering Target's   CircleCard   ecosystem. Our platform serves as the central gateway for   CircleCard   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   CircleCard   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 development workflows.     Services Engineering   Design, develop, and   maintain   highly scalable AI-ready services using   Kotlin, Java, and Micronaut .     Build secure, high-performance RESTful APIs and event-driven services supporting high-volume retail and financial workloads.     Design distributed systems using   Kafka , asynchronous messaging, distributed caching, and cloud-native architecture patterns.     Design and   optimize   PostgreSQL   databases, including data modeling, indexing, query optimization, and transactional integrity.     Build resilient,   highly available   services with strong fault tolerance, scala