Principal AI Data Architect

GE Vernova

. Define and evolve enterprise data architecture for trusted, scalable, secure, and cost-efficient AI products .

Posted 9/23/2026full-timeUnited StatesLead💰 $137,700 - $229,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in enterprise data architecture, data governance, and AI/ML solutions, with a strong focus on security, compliance, and data quality. Proficient in leading technical strategies and influencing stakeholders to drive data-driven decision-making.

Highest-signal resume keywords

Data ArchitectureData GovernanceAI/ML SolutionsPython ProficiencySQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData EngineeringData GovernanceAI/ML SolutionsPythonSQLData Processing LibrariesMCP ServersMCP RegistriesCloud Data Services

Soft Skills

Strong Communication SkillsLeadership

Tools & Technologies

AWS BedrockDatabricksRedShiftSnowflakeKafkaAirflow

Industry Keywords

Data QualityData LineageData PrivacyRegulated EnvironmentsEnterprise Data Systems

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSCloudKafkaPythonSQL

About the role

Key responsibilities & impact

Define and evolve enterprise data architecture for trusted, scalable, secure, and cost-efficient AI products
Design systems connecting diverse data sources to AI agents
Ensure information is clean, accessible, and ready for advanced analytics
Shape technical data engineering strategy and establish architectural standards
Translate business priorities into robust, production-ready capabilities
Partner with product managers, AI engineers, and security teams on data governance, security protocols, and compliance
Enable data for LLM and ML applications, including RAG, vector-based knowledge retrieval, agentic workflows, AI-assisted reporting, and secure agent data access
Establish data trust, security, and responsible-AI controls, including data quality, validation, lineage, metadata, privacy, RBAC/ABAC, auditability, retention, policy enforcement, and AI-output evaluation and monitoring
Evaluate cloud data services, AI platforms, frameworks, and vendors
Lead build-versus-buy assessments considering performance, resilience, security, operability, and total cost of ownership
Define target-state AI data architecture and multi-year roadmap for ingestion, integration, storage, modeling, semantic access, and AI consumption
Establish reusable reference architectures and engineering standards across domains
Lead architecture reviews and resolve complex cross-domain design issues
Partner with product, engineering, security, and executive leaders
Complete a required three-month hybrid onboarding residency in Niskayuna, NY for Cambridge-based resources

Requirements

What you’ll need

Bachelor’s degree in computer science, Computer Engineering, Data Science, Information Systems, or related field
10+ years of experience as a Data Architect, Data Engineer, ML Ops, or similar role with enterprise data systems
Ability to lead complex technical decisions and influence senior stakeholders
Strong communication skills
Experience establishing data governance, security, privacy, quality, lineage, and operational standards in enterprise or regulated environments
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
Proficiency in Python and SQL
Experience with data processing libraries
Hands-on experience with MCP Servers and MCP Registries
Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA
Legally authorized to work in the United States
Successful completion of a drug screen, as applicable
Preferred: Experience developing on AWS Bedrock
Preferred: Deep hands-on proficiency in SQL and Python, plus practical experience with Databricks, RedShift, Snowflake, Kafka, Airflow, or equivalent cloud-native services
Preferred: Experience with ontologies and semantic systems

Benefits

Comp & perks

Discretionary annual bonus
Medical, dental, vision, and prescription drug coverage
Health Coach from GE Vernova, a 24/7 nurse-based resource
Employee Assistance Program with 24/7 confidential assessment, counseling, and referral services
GE Vernova Retirement Savings Plan
Tax-advantaged 401(k) savings opportunity with company matching contributions
Company retirement contributions
Fidelity resources and financial planning consultants
Tuition assistance
Adoption assistance
Paid parental leave
Disability benefits
Life insurance
12 paid holidays
Permissive time off
Relocation assistance
Travel, housing, and living stipend for the required three-month Cambridge onboarding residency in Niskayuna