Principal AI Data Architect

GE Vernova

Location not specified

Full Time

Posted September 22, 2026

$114k - $174k· Est.

Power Generation

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Listing evidence and provenance

Source: workday View original listing
Freshness: Open in the current public read path; this is not an employer guarantee.Last observed September 29, 2026
Classification: Modern power-system classification not yet published for this listing.Legacy source industry field: Power Generation
Pay provenance: Estimated benchmark; not employer-provided

Job Description

As a Principal AI Data Architect, you will define and evolve the enterprise data architecture needed to deliver trusted, scalable, secure, and cost-efficient AI products.

Key Responsibilities

Enable AI and GenAI use cases: Ensure data is usable for LLM and ML applications, such as RAG, vector-based knowledge retrieval, agentic workflows, AI-assisted reporting, or secure data access for agents
Establish data trust, security, and responsible-AI controls including data quality and validation, lineage, metadata, privacy, RBAC/ABAC, auditability, retention, policy enforcement, and AI-output evaluation and monitoring.
Drive technology, platform, and investment decisions by evaluating cloud data services, AI platforms, frameworks, and vendors; lead build-versus-buy assessments with explicit consideration of performance, resilience, security, operability, and total cost of ownership.
Define the target-state AI data architecture and multi-year roadmap for data ingestion, integration, storage, modeling, semantic access, and AI consumption; establish reusable reference architectures and engineering standards across domains.
Provide principal-level technical leadership across the organization by leading architecture reviews, resolving complex cross-domain design issues, partnering with product, engineering, security, and executive leaders