Senior AI Platform Engineer, Enterprise AI Tools

kraken.com; Polska; Remote; PLN 350.000 - 600.000; Vollzeit

Zusammenfassung

Kraken is hiring for a role focused on building and operating the internal AI platform. You will design the technical layer, own the integration gateway, and extend tooling with automation and governance across the AI estate.

You will work with Python, identity access tools, and SaaS APIs to enable scalable and secure AI capabilities across the organization. Collaboration with cross-functional teams is essential.

Qualifikationen

• Experience building and shipping software beyond vendor configurations.
• Ability to work with Python or similar languages for tooling and automation.
• Familiarity with LLM/SaaS APIs and agent/tool usage patterns.
• Knowledge of identity and access concepts (Okta, OAuth, SCIM, SSO).
• Strong documentation, runbooks, and policy-writing skills.
• Ability to prioritize builds based on organizational needs vs demos.

Aufgaben

• Design and build the technical layer of Kraken's internal AI platform from surface to production runbook.
• Own the governed integration gateway including onboarding, authentication flows, and reliability.
• Develop internal tooling to extend the platform, e.g., prompts, evaluation harnesses, provisioning automation.
• Configure tiered spend controls across the AI estate and manage related alerts and reconciliations.
• Implement data handling, retention, and model eligibility controls with identity and workspace settings.
• Collaborate with teams to unblock them and turn ideas into leveragable tools.
• Lead technical enablement through deep dives and model release office hours.
• Administer the enterprise AI estate end-to-end, including model turn-ups and vendor configs.

Kenntnisse

Python

Version control

CI/CD

Containers

Secrets management

Okta/IdP

OAuth

SCIM

SSO

MCP/tool calling

Tools

Jira

Confluence

JSM

Jobbeschreibung

Kraken is hiring for a role focused on building and operating the internal AI platform. You will design the technical layer, own the integration gateway, and extend tooling with automation and governance across the AI estate.

You will work with Python, identity access tools, and SaaS APIs to enable scalable and secure AI capabilities across the organization. Collaboration with cross-functional teams is essential.