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.Qualifications

Educational Background:

• Bachelor s or Master s degree in Computer Science, Data Sciences, or related fields.

Professional Background:

• 10+ years of experience in platform engineering, cloud architecture, DevOps/SRE, or software engineering, with demonstrated expertise in building large-scale enterprise platforms and developer enablement capabilities.
• Deep expertise in CI/CD, Infrastructure as Code, cloud-native architectures, API platforms, security, and automation, with experience operationalizing AI/ML or GenAI platforms and services in enterprise environments.

Preferred Skills:

• Certifications in Cloud Architecture
• Experience with Agentic frameworks
• Excellent communication and stakeholder management skills