Enterprise Palantir Solutions Architect
Job in
Grand Rapids, Kent County, Michigan, 49528, USA
Listed on 2026-06-14
Listing for:
X2 logics
Full Time
position Listed on 2026-06-14
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Cloud Computing, Data Engineering
Job Description & How to Apply Below
Responsibilities
- Serve as Lear’s enterprise authority for Palantir Foundry and AIP, including Ontology, Object Types, Transformations, Feature Sets, AIP Agents, Solution Designer, and developer tooling.
- Stay current on Palantir platform releases, including AI FDE, AI Pilot, AIP enhancements, compute changes, and emerging Foundry capabilities.
- Design scalable, well‑patterned data and AI solutions that leverage the strengths of Foundry and AIP.
- Lead the end‑to‑end architecture of solutions — from data ingestion and harmonization to AI/analytics workflows, application experiences, and data delivery endpoints.
- Provide architectural guidance on internal and external integrations, including APIs, event‑driven pipelines, data exchanges, partner integrations, and secure data products.
- Facilitate architecture reviews, solution documentation, and alignment with Lear’s enterprise architecture principles.
- Architect secure‑by‑design solutions using Foundry’s granular permissioning, object‑level controls, and lineage‑based access patterns.
- Ensure compliance with enterprise security standards, regulatory needs, and global data protection policies.
- Optimize Foundry compute workloads (PySpark, Code Repositories, Pipelines, applications) for performance, elasticity, and cost efficiency.
- Architect scalable infrastructure patterns for AIP agents, LLM‑backed workflows, and compute‑heavy workloads.
- Ensure solutions include data quality monitoring, validation rules, schema controls, and reliability SLAs.
- Design automated or “intelligent” data health monitoring patterns, alerting, lineage tracking, and remediation workflows.
- Collaborate closely with ontology and data engineering teams to ensure semantic consistency and trustworthy data foundations.
- Conduct detailed production readiness assessments covering architecture, security, performance, data quality, observability, DR/BCP, and support models.
- Develop reusable components, patterns, accelerators, and templates that increase solution velocity and consistency for all teams.
- Coach teams on Palantir architecture patterns, platform capabilities, performance optimization, and secure workflows.
- Collaborate cross‑functionally with engineering, data science, manufacturing, quality, finance, and commercial stakeholders.
- Contribute to platform roadmap discussions and strategic planning as Lear expands its enterprise data and AI ecosystem.
- Bachelor’s in Computer Science, Information Systems, Data Engineering, or related technical field.
- 5+ years of experience in IT architecture, data platforms, or enterprise solution design.
- 3–5+ years of hands‑on Palantir Foundry architecture experience, including Ontology, pipelines, transformations, application development, and data modeling.
- Strong working knowledge of Palantir AIP, including agent frameworks, LLM workflows, grounding strategies, and secure prompt design.
- Deep understanding of identity, access management, security patterns, logging, and compliance considerations.
- Expertise in documenting and communicating architecture designs and reviewing solutions for alignment and quality.
- Experience with manufacturing, industrial systems, or supply chain operations (ISA‑95, plant hierarchies, OEE, BOM, routings, genealogy).
- Knowledge of MLOps, LLM/RAG patterns, or operational AI systems.
- Experience designing intelligent monitoring, observability, and reliability engineering patterns.
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