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# Principal AI Data Architect

- **Company:** GE Vernova
- **Location:** Cambridge, MA, United States
- **Experience:** Expert
- **Salary:** $137,700
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Information Systems, Computer Engineering, Data Architecture, Data Governance, Python (Programming Language), SQL Databases, Enterprise Search, Enterprise Data Management, Data Processing, Retrieval-Augmented Generation, Snowflake, Agentic-AI, Kubernetes, Information Technology, Apache Kafka, Machine Learning Operations, Evaluation of Large Language Models, Network Server, Data Pipelines, Serverless Computing, Amazon Redshift, Databricks
- **Published:** November 13, 2026
- **Apply:** https://jobs.military.com/career/396516/principal-ai-data-architect-new-york-ny-niskayuna

## About the Role

* Bachelor's degree in computer science, Computer Engineering, Data Science or Information Systems or related field \n
 * 10+ years of experience as a Data Architect, Data Engineer, ML Ops or similar role with enterprise data systems \n
 * 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. \n
 * 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 \n
 * Proficiency in Python and SQL, with experience in data processing libraries \n
 * Hands on experience with MCP Servers and MCP Registries. \n, * Experience developing on AWS Bedrock \n
 * Deep hands-on proficiency in SQL and Python, plus practical experience with data-processing and orchestration technologies such as Databricks, RedShift, Snowflake, Kafka, Airflow, or equivalent cloud-native services. \n
 * Experience with Ontologies and Semantic systems \n