Enterprise AI Platform Engineer – SaaS & Governance

Kraken; México; Presencial; MXN 1.200.000 - 1.800.000; Jornada completa

Descripción de la vacante

Kraken is building the enterprise AI layer that powers internal tooling across the organization. You will design, implement, and operate the AI platform's technical surface, from connectors to production runbooks, and own the governed gateway with secure authentication flows.

You will build internal tooling, manage spend controls, and enforce data handling policies, while collaborating with cross-functional teams. A strong background in Python, IAM, and SaaS platforms is required for success.

Formación

• Experience designing and operating an enterprise AI platform.
• Proven ability to ship software (Python) and manage CI/CD pipelines.
• Strong understanding of identity and access management (OAuth, SSO, SCIM).
• Ability to create runbooks, governance controls, and documentation.

Responsabilidades

• Design and build the technical layer of the AI platform from integration surface to production runbook.
• Own the governed integration gateway, including connectors and authentication flows.
• Build internal tooling for the platform (agent scaffolding, prompt assets, evaluation harnesses).
• Configure tiered spend controls, alerts, and vendor reconciliation.
• Implement data handling, retention, and model eligibility policy controls.
• Collaborate with teams to unblock workflows and enable tool leverage.

Conocimientos

Python

CI/CD

Secrets management

LLM integration

Identity & access

Documentation

Teaching

Stakeholder communication

Educación

Bachelor's degree in CS or related

Herramientas

Okta

OAuth

SCIM

SSO

Jira

Confluence

JSM

Descripción del empleo

Kraken is building the enterprise AI layer that powers internal tooling across the organization. You will design, implement, and operate the AI platform's technical surface, from connectors to production runbooks, and own the governed gateway with secure authentication flows.

You will build internal tooling, manage spend controls, and enforce data handling policies, while collaborating with cross-functional teams. A strong background in Python, IAM, and SaaS platforms is required for success.