Senior AI Data Architect: Build Trusted GenAI Data

GE Vernova, Inc.; Town of Niskayuna (NY); On-site; USD 138,000 - 230,000; Full time

Benefits offered by this job

Relocation assistance

Discretionary annual bonus

Comprehensive benefits package

Job summary

GE Vernova, Inc. in the United States (Niskayuna, NY) seeks a Principal AI Data Architect to deliver trusted, scalable AI data platforms and connect diverse data sources to AI agents. You will shape standards and production-ready capabilities.

You’ll partner with product managers, AI engineers, and security teams to enforce data governance, security, and compliance across data sources and AI systems, driving strategy and architecture across domains.

Qualifications

• Bachelor’s degree in a relevant field and 10+ years in enterprise data roles.
• Experience leading complex technical decisions and governance in regulated environments.
• Proven data foundations for AI/ML or GenAI including pipelines and model-serving integration.
• Strong Python/SQL skills and experience with data processing libraries.
• Hands-on experience with MCP Servers and MCP Registries.

Responsibilities

• Enable AI/GenAI data use cases for RAG, vector databases, and agentic workflows.
• Lead data trust, security, privacy, lineage, and policy enforcement.
• Evaluate cloud data services and AI platforms; perform build-vs-buy analyses.
• Define target-state AI data architecture and multi-year roadmap.
• Provide principal-level leadership through architecture reviews and cross-domain collaboration.

Skills

Python

SQL

Data processing libraries

Education

Bachelor’s degree in computer science, Computer Engineering, Data Science or Information Systems or related field

Tools

Databricks

RedShift

Snowflake

Kafka

Airflow

MCP Servers

MCP Registries

Job description

GE Vernova, Inc. in the United States (Niskayuna, NY) seeks a Principal AI Data Architect to deliver trusted, scalable AI data platforms and connect diverse data sources to AI agents. You will shape standards and production-ready capabilities.

You’ll partner with product managers, AI engineers, and security teams to enforce data governance, security, and compliance across data sources and AI systems, driving strategy and architecture across domains.