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.

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).