Engineer II

Our values start with our people, join a team that values you! Bring your talents to Ross, our leading off-price retail chain with over 2,200 stores, and a strong track record of success and growth. Our focus has always been bringing our customers a constant stream of high-quality brands and on-trend merchandise at extraordinary savings. All while providing a fun and exciting treasure hunt experience. As Part Of Our Team, You Will Experience • Success. Our winning team pursues excellence while learning and evolvingCareer growth. We develop industry leading talent because Ross grows when our people grow • Teamwork. We work together to solve the hard problems and find the right solution • Our commitment to Diversity, Equality & Inclusion, and our community. We celebrate the backgrounds, identities, and ideas of those who work and shop with us because our differences make us stronger. We strive to be a positive force in our community. Our Corporate headquarters are in Dublin, CA, we have 3 buying offices in key markets in New York City, Los Angeles, and Boston, and 8 distribution centers nationwide. With 2025 revenues of $22.8 billion, we are a Fortune 500 company who is committed to providing an inclusive work environment with continuous learning opportunities and development for our teams. GENERAL PURPOSE We are seeking a highly motivated and experienced Engineer II – Artificial Intelligence (AI) to join our Enterprise Architecture and Artificial Intelligence team. This role is responsible for the hands-on design, development, and delivery of intelligent digital assistants, AI agents, and agentic solutions leveraging the Microsoft AI ecosystem, including Azure AI Foundry, Azure services, Copilot Studio, and the Power Platform, alongside pro-code development using Python and other programming languages. The AI Engineer II will contribute across the full software development lifecycle (SDLC), encompassing prototyping, development, testing, deployment, and ongoing operational support. The primary objective of this role is to deliver scalable, AI-driven solutions that enhance productivity, improve customer experience, and drive operational efficiencies within a retail environment. The position will involve participation in a diverse range of AI initiatives, including generative AI applications, autonomous agents, computer vision solutions, and intelligent process automation. This role requires close collaboration with enterprise architects, data engineers, business analysts, and external technology partners to translate architectural designs and business requirements into robust, production-grade solutions. A strong understanding of integration platforms, APIs, AI gateways, the Model Context Protocol (MCP), and modern AI frameworks is essential to ensure solutions are scalable, well-integrated, secure, and aligned with enterprise standards. The ideal candidate is a proactive and results-oriented professional who thrives in a dynamic and rapidly evolving technology landscape. They should demonstrate proficiency in both low-code and pro-code development environments and possess a strong commitment to continuous learning, with the ability to effectively apply emerging AI technologies to address complex, real-world challenges in the retail domain. The base salary range for this role is $114,300 – $195,000. The base salary range is dependent on factors including, but not limited to, experience, skills, qualifications, relevant education, certifications, seniority, and location. The range listed is just one component of the total compensation package for employees. Other rewards vary by position and location. Essential Functions • Develop and Deliver AI Assistants and Agent-Based Solutions • Design, build, test, and deploy intelligent digital assistants and AI agents using Microsoft Copilot Studio, Azure AI Foundry, Azure AI Search, and other Azure services. • Implement agentic workflows and multi-agent orchestration patterns using both low-code platforms (Copilot Studio, Power Platform) and pro-code approaches (Python, SDKs, APIs). • Develop and maintain retrieval-augmented generation (RAG) pipelines, including data ingestion, vector indexing, prompt engineering, and grounded responses leveraging enterprise data sources. • Participate in the Full Software Development Lifecycle (SDLC) • Contribute to all phases of solution delivery, including requirements analysis, solution design, development, testing, deployment, and post-production support. • Write clean, well-documented, and maintainable code in accordance with engineering best practices and enterprise standards. • Support CI/CD pipelines and implement LLMOps practices for effective management of models, prompts, and agent lifecycles. • Integrate AI Solutions with Enterprise Systems and Platforms • Develop and consume APIs, connectors, and integration workflows to connect AI solutions with enterprise data sources (e.g., SQL databases, file s