Senior Solution Architect (AI)

Location: Dallas, Texas, United States; various unanticipated locations throughout the U.S.; may telecommute/work from home

Company

Enterprise planning technology company developing an AI-first platform for supply chain and business decision-making.

What you will do

• Lead process and business requirements sessions, including interviews and workshops, and document future-state business processes.
• Identify, collect, and analyze enterprise data from ERP, PLM, databases, spreadsheets, email, and other sources.
• Translate approved business requirements into technical platform designs, functional specifications, datasets, and configurations.
• Lead supply chain planning implementations through requirements gathering, solution design, development, UAT/SIT, go-live, and value realization.
• Oversee mathematical modeling, predictive methods, statistical analysis, optimization, simulations, data visualization, and performance monitoring.
• Coordinate with clients, project teams, R&D, analysts, data scientists, integration specialists, and stakeholders; deliver training and mentor technical team members.

Requirements

• Bachelor’s degree or foreign equivalent in Electronic Engineering, Computer Engineering, or Computer Science.
• At least five years of progressive post-baccalaureate experience in the role or a related supply chain planning or logistics occupation.
• Experience with planning systems, ERP tools, and the full lifecycle of large-scale enterprise implementations.
• Experience using agile methodology, MS Office, Google Sheets, and Google Docs.
• Experience with SQL Server, MySQL, MDX, and T-SQL.
• Ability to work in Dallas, Texas, other U.S. locations, or remotely from home as permitted by the position.

Culture & Benefits

• Transparent communication and collaboration across functions, levels, and locations.
• Volunteering opportunities, social impact initiatives, and diverse cultural celebrations.
• Work with a global organization serving enterprise customers across multiple regions.
• Focus on AI-powered management, enterprise knowledge graphs, automation, and real-time decision support.