We are looking for an AI Engineer to help transform our Device Management Platform through the adoption of intelligent, AI-powered capabilities. This role will focus on designing, developing, and integrating AI solutions that improve how enterprise devices are managed, monitored, and supported at scale. You will work closely with product, engineering, security, and infrastructure teams to identify high-value use cases and build solutions such as intelligent search, conversational assistants, anomaly detection, predictive insights, automated remediation, and AI-driven operational analytics. The ideal candidate combines strong software engineering fundamentals with practical experience building and integrating AI/ML and Generative AI solutions into production systems. Core
Responsibilities
AI Solution Development Design, develop, and deploy AI-powered capabilities across the Device Management Platform Build intelligent search experiences leveraging LLMs, semantic search, vector databases, and retrieval-augmented generation (RAG) Build and maintain MCP tools and integrations for device management, compliance, ITSM, etc. Develop AI-driven insights using device telemetry, operational metrics, and platform data Implement conversational experiences and AI assistants that simplify device management workflows Build AI features for compliance evaluation, anomaly detection, natural-language admin commands, and self-healing using language models and local RAG. Implement the confidence gateway that converts probabilistic AI decisions into deterministic actions with policy thresholds, guardrails, audit logs, and human-approval paths. AI Platform Engineering & Systems Integration Develop scalable services and APIs that integrate AI capabilities into existing platform workflows Build data pipelines and retrieval systems to support AI applications Evaluate and integrate foundation models, LLMs, embeddings, and agent frameworks Design and implement prompt engineering, evaluation, and observability frameworks Ensure AI solutions are secure, reliable, scalable, and cost-effective Integrate AI capabilities with device management services, backend platforms, and enterprise systems Collaborate with platform teams to operationalize AI solutions in production environments Build and maintain CI/CD pipelines supporting AI applications and services Partner with infrastructure teams to optimize AI workloads and deployments Architecture & Technical Leadership Identify opportunities to leverage AI to improve operational efficiency and user experience Establish best practices for AI solution design, model evaluation, governance, and responsible AI usage Contribute to architectural decisions around scalability, reliability, security, and AI adoption Collaboration & Cross-Functional Impact Partner with product, engineering, security, infrastructure, and business teams to identify AI use cases and prioritize investments Translate business problems into AI-powered solutions Communicate technical concepts and AI recommendations to both technical and non-technical stakeholders Stay current with emerging AI technologies and bring innovative ideas into the platform Required
Qualifications
4+ years of software engineering experience, including experience building production-grade applications and services Hands-on experience developing and deploying AI-powered applications or Generative AI solutions
Experience
building applications using Large Language Models (LLMs) such as OpenAI GPT, Claude, Gemini, Llama, or similar models
Experience
with Retrieval-Augmented Generation (RAG), vector databases, embeddings, and semantic search Understanding of model confidence, evaluation metrics, false positives/negatives, and safe fallback behaviour. Familiarity with AI governance, explainability, and approval-gated automation for high-risk actions. Exposure to Anomaly detection, Confidence scoring and decision thresholds, Explainability and Auditability Strong proficiency in Python, Java, Kotlin, or a combination thereof
Experience
designing and implementing REST APIs and backend service integrations
Experience
working with cloud-based AI services and AI development frameworks
Experience
evaluating AI solutions and measuring quality through testing, experimentation, and monitoring Strong understanding of software engineering best practices, CI/CD, testing, and observability Strong problem-solving skills and ability to work across cross-functional teams
Preferred Qualifications
Experience
working with enterprise device management platforms, Android Enterprise, IoT systems, or edge devices
Experience
building intelligent search, recommendation engines, chatbots, or AI assistants
Experience
with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar AI frameworks
Experience
leveraging device telemetry and operational data to build predictive analytics or anomaly detection solutions Familiarity with Temporal or similar workflow orchestration frameworks
Experience
with event-driven architectures and distributed systems Knowledge of responsible AI practices, model governance, and AI security Target is one of the world’s most recognized brands and one of America’s leading retailers. We make Target our guests’ preferred shopping destination by offering outstanding value, inspiration, innovation and an exceptional guest experience that no other retailer can deliver. Target is committed to responsible corporate citizenship, ethical business practices, environmental stewardship and generous community support. Since 1946, we have given 5 percent of our profits back to our communities. Our goal is to work as one team to fulfill our unique brand promise to our guests, wherever and whenever they choose to shop. We'll contact you if you're selected for next steps. In the meantime, follow us at A Bullseye View for the latest news. Our
Benefits
We care about and invest 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.