Enterprise Palantir Solutions Architect - iDEA by Lear

Lear Corporation • Southfield, MI

6d

About The Position

Lear is a global Tier 1 automotive supplier of Seating and E‑Systems, accelerating a multi‑year digital and automation transformation through IDEA by Lear (Innovation, Digital, Engineering & Automation). Central to this initiative is our enterprise investment in Palantir Foundry and the Palantir Artificial Intelligence Platform (AIP), enabling unified data, intelligent operations, and AI‑powered automation across our global footprint. We are seeking a high‑caliber Enterprise Palantir Solution Architect to help architect the next generation of digital, analytical, and AI-driven solutions on our Palantir platforms.

The Enterprise Palantir Solution Architect provides end‑to-end architectural leadership across solution design, development, and production readiness for all Palantir Foundry and AIP initiatives. This role combines enterprise IT architecture expertise with deep platform knowledge, ensuring every solution is secure, scalable, reliable, cost‑optimized, and grounded in well‑architected data and AI patterns. This leader plays a crucial role from early concept and design reviews through delivery and operations, assessing security, identity and access, compute efficiency, data quality, and long-term maintainability.

Requirements

• 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.
• Experience designing end‑to‑end data architectures (ingestion → harmonization → semantic modeling → delivery).
• 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.

Nice To Haves

• 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.
• Architectural certifications (TOGAF, cloud architecture certifications, etc.).
• Experience designing intelligent monitoring, observability, and reliability engineering patterns.

Responsibilities

• Palantir Platform Architecture 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.
• Solution Design & Architecture Governance 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.
• Security, Identity, and Access Controls 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.
• Performance, Compute, and Cost Optimization 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.
• Data Quality, Reliability & Intelligent Monitoring 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.
• Production Readiness & Operationalization 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.
• Platform Evangelism & Technical Leadership 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees