Technologist, Data Analytics Engineering

Job Description

• Lead the architecture, engineering, and operationalization of enterprise AI platform capabilities, enabling secure, scalable, and reusable AI services across the organization.
• Own the productization of foundational AI capabilities—including AI Gateway, Semantic Layer, Agentic Harness, CLI tooling, and integration frameworks—to accelerate AI solution delivery and adoption.

Key Responsibilities

• Define and implement the platform engineering strategy for AI services, including CI/CD, IaC, API lifecycle management, observability, security, governance, and multi-environment deployment patterns.
• Architect, build, and scale foundational AI capabilities (e.g., Semantic Layer, Agentic Harness, AI Gateway, orchestration frameworks, reusable SDKs/CLI tools) while establishing standards, reference architectures, and engineering best practices across teams.