AI Specialist

Job Number: 260000GI)
Description WHY JOIN BEALLS?

At Beall's Inc., we've spent 111 years delivering brands, style, and value while creating exceptional experiences for our guests. As a family-owned, leading off-price retailer with more than 650 stores across 23 states, we remain committed to our entrepreneurial spirit, core practices, and communities. We believe success is built through innovation, teamwork, and collaboration across our organization. We offer opportunities to build skills, grow careers, and make meaningful contributions in a supportive environment where people are valued and empowered to succeed.

AI Specialist FUNCTION:

The AI Specialist is an early-career technology position, ideal for a recent graduate, that supports the development, testing, implementation, and ongoing improvement of AI-enabled solutions and automations. Reporting to the Director of AI and working with technical leadership, this position partners with business and technology teams to deliver practical tools, prepare and evaluate data and AI outputs, document solutions, support user adoption, and promote the responsible use of AI across the organization.

INTERACTION:
• Reports to the Director of AI.
• Partners with Technology, Data & Analytics, Store Operations, Merchandising, Finance, Human Resources, and other business teams to support AI use cases and implementation efforts.

SUMMARY OF DUTIES AND RESPONSIBILITIES [Essential Functions]:
• Assist with developing, testing, implementing, and supporting AI-enabled solutions, automations, prompts, workflows, and knowledge resources.
• Use version control (Git) and participate in code reviews for assigned development work.
• Prepare, organize, and validate data used for assigned AI and machine learning initiatives using SQL and Python.
• Evaluate AI outputs for quality, accuracy, consistency, and business relevance, and document findings.
• Assist with gathering requirements and translating defined business needs into practical technical solutions.
• Support pilot projects, user testing, and feedback collection for new AI-enabled tools and processes.
• Monitor assigned solutions, troubleshoot issues, track adoption and outcomes, and identify opportunities for improvement.
• Create and maintain technical documentation, user guides, support materials, and best practices.
• Support training and enablement activities for approved AI tools.
• Research emerging AI capabilities and share findings and potential business applications with technical leadership.
• Follow company standards for data privacy, security, governance, compliance, and responsible AI; identify and escalate potential quality, bias, risk, or policy concerns.
• Perform other duties as assigned.

QUALIFICATIONS:

Required qualifications
• Bachelor’s in Computer Science, Data Science, Information Systems, Analytics, Engineering, Mathematics, or a related field; recent and upcoming graduates are encouraged to apply.
• Foundational knowledge of artificial intelligence, generative AI, data analysis, automation, or related technologies gained through education, internships, projects, or relevant work experience.
• Foundational understanding of prompt development and evaluation concepts.
• Working knowledge of Python and SQL, demonstrated through coursework, internships, or personal projects.
• Strong analytical, problem-solving, communication, and organizational skills.
• Ability to collaborate, learn new technologies, and adapt to changing business needs.

Preferred qualifications
• Experience through an internship, capstone, academic research, project work, or employment involving AI, analytics, automation, or software development.
• Exposure to Microsoft Copilot, Azure AI, OpenAI, Power Platform, or comparable technologies.
• Familiarity with APIs, cloud-based AI services, workflow automation, Power BI, Git, Azure Dev Ops, Snowflake or a comparable cloud data warehouse, or similar tools.
• Exposure to retrieval-augmented generation (RAG), agent frameworks, or AI evaluation tooling through coursework or projects.
• A portfolio, Git Hub repository, or capstone project demonstrating hands-on use of generative AI tools or APIs.
• Interest in applying AI within retail or consumer-oriented business operations.