You’ll partner with product managers, AI engineers, and security teams to ensure data governance, security protocols and compliance rules are enforced when Agents need access to data sources. Expect to drive strategy, provide leadership in data engineering, clarify outcomes, and shape standards. If you’re unsure, apply.Job DescriptionRESPONSIBILITIES
- 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
REQUIRED 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
- Proficiency in Python and SQL, with experience in data processing libraries
- Hands on experience with MCP Servers and MCP Registries.
Eligibility:
- Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA.
- Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided.
PREFERRED QUALIFICATIONS
- Experience developing on AWS Bedrock
- 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.
- Experience with Ontologies and Semantic systems
GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: Yes
For candidates applying to a U.S. based position, the pay range for this position is between $137,700.00 and $229,600.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.
Bonus eligibility: discretionary annual bonus.
This posting is expected to remain open for at least seven days after it was posted on September 22, 2026.
Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.
GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
Skills Required
- Bachelor's degree in computer science, computer engineering, data science, information systems, or a related field
- 10 or more years of experience as a Data Architect, Data Engineer, MLOps professional, or similar role working with enterprise data systems
- Experience leading complex technical decisions and influencing senior stakeholders
- 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 RAG, vector databases, enterprise search, LLM evaluation, agentic workflows, feature or data pipelines, or model-serving integration
- Proficiency in Python and SQL
- Experience with data-processing libraries
- Hands-on experience with MCP Servers and MCP Registries
- Willingness to work from an office in Niskayuna, New York, or Cambridge, Massachusetts
- Experience developing on AWS Bedrock
- Deep hands-on proficiency in SQL and Python
- Experience with Databricks, Redshift, Snowflake, Kafka, Airflow, or equivalent cloud-native services
- Experience with ontologies and semantic systems
GE Vernova Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Vernova and has not been reviewed or approved by GE Vernova.
-
Retirement Support — The 401(k) plan includes company matching contributions and additional company retirement contributions, with access to Fidelity resources and financial planning consultants. Feedback suggests this structure supports long-term savings beyond a basic match.
-
Parental & Family Support — Paid parental leave is available with flexible, continuous or non-continuous usage, and is complemented by adoption resources and Work/Life Connections guidance. Maternity leave is described as extended relative to typical workplace norms.
-
Leave & Time Off Breadth — Time-off programs include 12 paid holidays, permissive time off for many salaried roles, and dedicated personal, illness, and caregiving time for U.S. new hires. Some hourly roles start with a defined PTO bank, while other roles may offer unlimited time off.
GE Vernova Insights
What We Do
GE Vernova is a planned purpose-built company on a mission to electrify the planet while simultaneously working to decarbonize it. If we want our energy future to be different…we must be different. Our mission is embedded in our name. We retain our treasured legacy, “GE,” in our name as an enduring and hard-earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver. GE Vernova brings together GE’s portfolio of energy businesses including Power, Wind, Electrification and Digital businesses. With focus, GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. Together, we have The Energy to Change the World.
Why Work With Us
Join our team, to evolve and grow, surrounded by some of the brightest minds in the industry who help you get better every day. You’ll get the chance to rewrite the rules, work on cutting-edge technology, and be part of a global team for positive change.
Gallery
