Staff AI Security Engineer securing EQ Bank’s enterprise AI, machine learning, and cloud platforms. Building guardrails, controls, automation, and detection capabilities for Canada’s Challenger Bank.
About the role
- Support Engineer providing operational support, governance, and administration for Palantir AI platform ecosystem. Ensuring platform stability and operational reliability across production workloads.
Responsibilities
- Provide hands-on operational support, governance, and administration for the Palantir Foundry and Palantir AIP ecosystem.
- Ensure platform stability, secure access management, model and ontology integrity, and operational reliability across production workloads.
- Administer role-based access control (RBAC), object-level permissions, and policy enforcement across Foundry workspaces, Ontology, and AIP applications.
- Enforce governance standards for Ontology objects, data lineage, model usage, and operational workflows.
- Manage formal intake and approval workflows for access, configuration changes, and production releases.
- Maintain operational documentation including runbooks, SOPs, escalation paths, and AIP deployment guidelines.
- Conduct periodic governance reviews to validate access controls, object ownership, and compliance posture.
- Support transition-to-operations for new AIP use cases, ensuring documentation, monitoring, and ownership clarity.
- Act as first-line responder for Foundry and AIP incidents, service disruptions, or degraded AI workflows.
- Triage data ingestion failures, Ontology inconsistencies, permission issues, or model invocation errors.
- Participate in post-incident reviews and drive preventive improvements.
Requirements
- Hands-on experience supporting Palantir Foundry and/or Palantir AIP in production environments.
- Strong understanding of Ontology modeling, pipeline orchestration, and RBAC governance concepts.
- Experience supporting enterprise data platforms (Azure, Databricks, Snowflake, etc.).
- Familiarity with AI/ML operational concepts including model lifecycle, monitoring, and guardrails.
- Proven experience managing production incidents and stakeholder communications.
- Comfort working with logs, monitoring dashboards, scheduling systems, and workflow orchestration tools.
- Strong written and verbal communication skills with ability to operate in cross-functional environments.
- Experience supporting AI agent workflows and LLM-integrated enterprise applications (preferred).
- Understanding of data lineage, auditability, and enterprise compliance frameworks (preferred).
- Exposure to DevOps/CI-CD practices for platform deployments (preferred).
- Experience working in regulated or governance-heavy enterprise environments (preferred).
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
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