Teams at ENSEK

Provide technical leadership for ENSEK’s data ecosystem, owning data architecture, platform strategy, roadmap, and data mesh adoption. Establish standards for event-driven architecture, schema governance, data quality, observability, lineage, metadata, security, and cost management. Design governed data-sharing interfaces for customers and partners, solve complex engineering challenges, influence senior stakeholders, and mentor engineering teams.

Lead the architecture and development of ENSEK’s shared AI/ML platform. Establish scalable MLOps and LLMOps capabilities covering model deployment, evaluation, observability, governance, RAG, agentic workflows, safety, and lifecycle management. Partner with data and platform teams to operationalize AI solutions, mentor engineers, define technical standards, and build a high-performing AI engineering capability supporting multiple product teams in a regulated environment.

Provides hands-on technical leadership for platform engineering teams. Designs and operates secure, scalable APIs, authentication and authorization services, onboarding systems, configuration management, and shared cloud-native capabilities. Leads architecture decisions, improves engineering quality, reliability, observability, testing, security, and delivery practices. Partners with product, engineering, SRE, and developer experience teams while mentoring engineers and setting technical standards across the organization.