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Solution Architect II; AI - Enterprise Architecture

Job in Dublin, Alameda County, California, 94568, USA
Listing for: Ross Stores, Inc.
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 129100 - 220600 USD Yearly USD 129100.00 220600.00 YEAR
Job Description & How to Apply Below
Position: Solution Architect II (AI - Enterprise Architecture)

Join to apply for the Solution Architect II (AI - Enterprise Architecture) role at Ross Stores, Inc.

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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 evolving
  • Career 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 2023 revenues of $20.4 billion, we are a Fortune 500 company committed to providing an inclusive work environment with continuous learning opportunities and development for our teams.

General Purpose

We are looking for a highly motivated and passionate AI Architect. This role requires a skillset across a variety of AI technologies, with a strong emphasis on designing intelligent digital assistants and agent-based solutions using Microsoft Copilot, Azure OpenAI, and other Azure AI services. This position is responsible for shaping scalable, secure, and compliant AI architectures that support a range of business scenarios—leveraging generative AI, computer vision, LLMOps, and other advanced AI capabilities.

The AI Architect collaborates with business leaders, engineering teams, data science, and security to translate business needs into AI-driven solutions that deliver tangible business outcomes and align with enterprise standards.

The architect should have expertise in using AI to increase productivity, efficiency, quality and reduce operational costs in Retail. It is a highly visible role with broad engagement within IT and business teams as well as externally with technology providers. The individual will collaborate and drive architecture deliverables with other architects, external experts and consultants, and will often need to learn independently to stay on the cusp of new AI technologies.

The base salary range for this role is $129,100 - $220,600. 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 one component of the total compensation package for employees. Other rewards vary by position and location.

Essential Functions

  • Responsible for defining and maintaining AI technology roadmap and plans. Identify, communicate, and mitigate risks within the roadmap or implementation plans. Participate in IT 5-year planning and annual budgeting process.
  • Lead AI Solution Architecture for Digital Assistants and AI Agents.
  • Create criteria for evaluating, comparing and selecting AI services.
  • Architect scalable and secure digital assistant and AI agent solutions leveraging Microsoft Copilot Studio, Azure OpenAI, Azure AI Search, and Graph Connectors.
  • Define architectural patterns for integrating enterprise data sources (e.g., file shares, SQL, APIs) to support retrieval-augmented generation (RAG) and intelligent interactions.
  • Ensure solutions meet performance, accuracy, and governance requirements.
  • Develop and Govern Enterprise AI Patterns and Best Practices.
  • Create and maintain reusable architecture frameworks, reference implementations, and guardrails for AI use cases across the organization.
  • Establish guidelines for responsible AI, including transparency, fairness, and privacy.
  • Champion LLMOps practices to streamline…
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