Teams at Genzeon

Leads the design and implementation of o9-based supply chain planning solutions, including demand forecasting, inventory optimization, supply planning, and S&OP processes. Gathers requirements, performs gap analyses, translates business needs into technical functionality, and improves planning workflows and KPIs. The role also supports integrations, documentation, end-user training, and collaboration between technical and business teams.

Owns end-to-end technical delivery for complex retail technology projects. Responsibilities include reviewing architecture and code, troubleshooting Python and .NET systems, designing cloud solutions, implementing CI/CD and deployment strategies, assessing technical risks, and producing technical documentation. The role serves as a technical client contact, supports proposals, embeds DevSecOps practices, and evaluates AI tooling while using project management processes to keep engineering delivery on track.

Architects and scales AI-native enterprise systems, including LLM, RAG, fine-tuning, and multi-agent solutions. Defines AI architecture standards, model and data strategies, cloud infrastructure, MLOps/LLMOps, security, privacy, and responsible AI practices. Advises clients and stakeholders, leads technical delivery and presales, mentors engineering teams, and ensures production systems are scalable, observable, cost-effective, and compliant.