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).
Senior Manager overseeing deployment and management of AI technologies for Fairstone Bank. Ensuring AI systems run efficiently and deliver measurable business value.
Senior Product Manager on Autodesk's AI platform transforming creative workflows in Media & Entertainment. Driving product strategy and cross - functional execution to enhance user engagement and productivity.
Senior Lead Data & AI Engineer developing scalable data engineering frameworks for Vanguard. Managing AI deployments and orchestration using Databricks and cloud - native services.
Senior Product Manager at Autodesk managing AI platform for media and entertainment. Leading product strategy and user engagement across creative workflows.
Senior AI Developer responsible for shaping production AI systems and leading engineering vision at Euna Solutions. Collaborate with teams to design and implement reliable AI - driven products remotely from Canada.
Staff AI Developer defining and driving the technical direction for Euna Solutions' grant research platform. Shaping architecture, building systems, and influencing AI - enabled software development.
Senior AI Engineer designing and building LLM - powered AI systems for Affinity's CRM platform. Collaborating with engineers and product managers to uncover insights from business interaction data.
Machine Learning Engineer designing and operating AI platform components for Mozilla. Collaborating with teams to ensure efficient and reliable deployment of machine learning models.
Senior AI Application Engineer needed for hybrid role in Woodbridge, ON. Design and build AI - powered applications with LLMs, multi - agent systems, and full stack development.