Principal AI Data Architect: Lead Trusted Data for GenAI

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

Benefits offered by this job

Medical, dental, vision coverage

Health Coach & 24/7 nurse support

Employee Assistance Program

401(k) with company match

Tuition assistance

Job summary

GE Vernova is seeking a Principal AI Data Architect to define enterprise data architecture for trusted, scalable AI products. You will connect diverse data sources to AI agents, ensure data readiness, and shape standards for governance, security, and cost efficiency.

You will lead architecture reviews, collaborate with product managers and security teams, and drive a multi-year AI data roadmap across domains. Office-based in NY/MA with a residency program for senior talent.

Qualifications

• Bachelor’s degree in computer science, Computer Engineering, Data Science or Information Systems or related field.
• 10+ years of experience as a Data Architect, Data Engineer, ML Ops or similar role with enterprise data systems.
• Demonstrated ability to lead complex technical decisions and influence senior stakeholders, with strong communication skills and experience establishing data governance, security, privacy, quality, lineage, and operational standards in enterprise or regulated environments.
• Demonstrated experience delivering data foundations for AI/ML or GenAI solutions, including one or more of RAG, vector databases, enterprise search, LLM evaluation, agentic workflows, feature/data pipelines, and model-serving integration

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

Skills

Python

SQL

Data governance

Leadership

Communication

Education

Bachelor’s degree in computer science or related field

Tools

Databricks

RedShift

Snowflake

Kafka

Airflow

MCP Servers

MCP Registries

AWS Bedrock

Job description

GE Vernova is seeking a Principal AI Data Architect to define enterprise data architecture for trusted, scalable AI products. You will connect diverse data sources to AI agents, ensure data readiness, and shape standards for governance, security, and cost efficiency.

You will lead architecture reviews, collaborate with product managers and security teams, and drive a multi-year AI data roadmap across domains. Office-based in NY/MA with a residency program for senior talent.