Teams at VML Enterprise Solutions

Lead enterprise AI delivery from discovery through implementation, designing secure Azure-based platforms involving LLMs, agents, RAG, orchestration, integrations, governance, and evaluation. Guide architecture, define AI and deterministic logic boundaries, lead technical workshops, support engineers with hands-on guidance, and translate business needs into actionable delivery plans.

Analyze customer bases, churn, lifecycle metrics, and campaign performance; create segmentation models, clusters, dashboards, and automated reports. Build and optimize data queries, extraction routines, pipelines, and models, then communicate actionable insights and recommendations to technical and business stakeholders. The role requires SQL, Python, CRM and digital marketing analytics, segmentation techniques, and data visualization skills.

Lead enterprise AI delivery and solution architecture for a secure Azure-based platform. Responsibilities include designing agentic workflows, RAG and knowledge retrieval, enterprise integrations, security and governance controls, AI evaluation, and human oversight. The role combines client-facing discovery and technical workshops with architectural leadership, hands-on engineering guidance, code reviews, and implementation planning. Candidates need strong enterprise AI experience, Azure expertise, software architecture knowledge, and the ability to integrate LLM capabilities with deterministic application logic.