Teams at Genzeon

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.