Jobs 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.

Build and maintain .NET AWS Lambda services, shared client libraries, Kafka producers and backfill tooling. Design data pipelines with DynamoDB and SQS, implement AVRO schemas and Schema Registry, integrate third-party REST APIs, ensure robust testing and observability using CloudWatch and Lambda Insights.

Define and govern retail technology architecture across applications, data, infrastructure, security, and AI. Drive cloud strategy, integration patterns, legacy modernization, vendor evaluations, architecture governance, and AI/GenAI adoption. Mentor architects and ensure scalable, secure, cost-effective solutions aligned to retail business goals and peak-event resilience.

Lead technical architecture and design for event-driven, serverless data integration on AWS. Produce HLDs/LLDs, design Kafka/MSK streaming ingestion, run design workshops, define API integration and idempotency patterns, and translate NFRs (availability, performance, security, observability) into AWS-native implementations and acceptance criteria.

Develop, maintain, extend, configure, and support IBM Sterling Order Management applications. Lead technical delivery for Order Management projects, including integrations, deployments, patches, upgrades, and Java-based extensions. Work with Java EE, Oracle, middleware, microservices, REST APIs, and Kafka. Provide technical leadership, perform functional testing, and apply AI-driven development practices.