Senior
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:
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Building AI-ready platform capabilities and MCP-based tools and services.
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Expanding shared platform capabilities, including distributed caching and reusable platform services.
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Improving API performance, scalability, resiliency, and observability to support significant traffic growth.
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Building AI-powered engineering productivity capabilities.
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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
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Leverage AI-assisted software development tools throughout the software development lifecycle, including solution design, implementation, testing, debugging, documentation, and code reviews.
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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.
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Apply sound engineering judgment to validate AI-generated code and technical recommendations through testing, peer reviews, and established software engineering practices.
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Design and build production AI-powered applications using Target-approved AI platforms, frameworks, and Large Language Models (LLMs) to solve engineering and business problems.
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Design, build, and deploy production-grade autonomous and agentic AI systems capable of reasoning, planning, tool orchestration, memory management, and multi-step workflow execution.
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Develop domain-specific AI agents and multi-agent workflows using modern orchestration frameworks to automate engineering processes and enhance retail and enterprise experiences.
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Design and implement prompt engineering and Context Engineering strategies to improve application quality, reliability, and relevance.
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Build Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge sources, vector search technologies, and semantic retrieval.
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Optimize AI applications for response quality, latency, throughput, token utilization, and inference cost.
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Implement AI evaluation frameworks and apply responsible AI, security, privacy, governance, and observability best practices.
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Build reusable AI components, frameworks, libraries, workflows, and engineering accelerators that improve developer productivity.
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Evaluate emerging AI capabilities, lead proof-of-concept initiatives, and recommend adoption strategies that deliver measurable business value.
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Partner across engineering teams to integrate AI capabilities into products, platforms, and software development workflows.
Services Engineering
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Design, develop, and maintain highly scalable AI-ready services using Kotlin, Java, and Micronaut.
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Build secure, high-performance RESTful APIs and event-driven services supporting high-volume retail and financial workloads.
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Design distributed systems using Kafka, asynchronous messaging, distributed caching, and cloud-native architecture patterns.
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Design and optimize PostgreSQL databases, including data modeling, indexing, query optimization, and transactional integrity.
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Build resilient, highly available services with strong fault tolerance, scalability, and operational excellence.
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Lead technical design discussions, architecture reviews, code reviews, and implementation planning.
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Improve platform observability using OpenTelemetry, distributed tracing, metrics, logging, and production monitoring.
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Continuously improve application performance, scalability, resiliency, observability, and operational health.
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Partner closely with Product Management, UX, Architecture, Infrastructure, Data, and business stakeholders to deliver customer-focused solutions.
About You
Required Qualifications
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Bachelor's degree or equivalent practical experience.
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5+ years of software engineering experience building enterprise-scale distributed applications and services.
AI Engineering
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Hands-on experience designing and deploying production AI applications, AI-powered tools, or agentic systems using modern Large Language Models (LLMs).
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Experience building autonomous or multi-agent workflows using technologies such as Model Context Protocol (MCP), LangGraph, LangChain, CrewAI, Google ADK, Semantic Kernel, or equivalent orchestration frameworks.
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Strong understanding of AI application architecture, including Prompt Engineering, Context Engineering, Retrieval-Augmented Generation (RAG), tool calling, memory management, orchestration patterns, and AI evaluation.
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Experience optimizing AI applications for quality, latency, token efficiency, and inference cost while implementing responsible AI, governance, and observability practices.
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Proficiency in Python for AI application development, automation, or AI tooling.
Services Engineering
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Expert-level proficiency in Kotlin and Java, with experience building microservices using Micronaut and/or Spring Boot.
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Strong experience designing distributed systems, RESTful APIs, Kafka-based event-driven architectures, PostgreSQL, Redis, Docker, Kubernetes, and modern CI/CD pipelines.
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Experience building highly available, resilient, secure, and observable production services.
Leadership & Collaboration
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Strong communication, collaboration, and technical leadership skills with experience mentoring engineers, leading design discussions, and driving engineering best practices.
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Passion for applying emerging AI technologies to solve complex engineering and business challenges.
Why Join Us
CircleCard Account Services sits at the heart of one of Target's most critical financial platforms. Every day, millions of guests and internal systems rely on the services we build.
As a Senior AI Engineer, you'll help shape the future of enterprise software engineering by combining modern AI capabilities with large-scale distributed systems. You'll build intelligent services, reusable engineering platforms, and production-grade agentic AI capabilities that improve developer productivity, strengthen operational excellence, and deliver exceptional experiences for Target's guests and team members.
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_D
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.
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