Technical Lead - AI & Data Science

Job Description Summary

The Technical Lead - AI & Data Science will be responsible for overseeing the development and deployment of GenAI and data science solutions in nuclear applications. This role requires deep expertise in model development, pre-training, and implementation of AI algorithms--including vision AI, predictive analytics, LLM-based applications, machine learning and data analytics. This role requires strong leadership skills to drive innovation, foster a collaborative environment, and ensure the successful delivery of AI-driven solutions. The ideal candidate will have a proven track record in both technical and leadership domains, with a passion for leveraging AI and data science to solve complex business problems.

The Engineer will work closely with domain experts to translate operational challenges into AI-solvable problems, prototype models, validate performance, and support integration with enterprise systems. Strong Python and machine learning skills, familiarity with cloud AI platforms, and experience with MLOps pipelines are essential. This role is critical to delivering high-impact technical solutions across diverse business use cases such as factory vision systems, error analysis, and procedural automation.

Responsibilities

Job Description

• Strategy Development:
• Develop and execute the AI and data science strategy aligned with the organization’s goals.
  
  
• Identify opportunities for AI and data science applications across various business units.
• Leadership:
• Lead, mentor, and grow a high-performing team of data scientists, machine learning engineers, and analysts.
  
  
• Foster a culture of continuous learning, innovation, and collaboration.
• Project Oversight:
• Plan and oversee the end-to-end lifecycle of AI and data science projects, from conception to deployment.
  
  
• Ensure projects are delivered on time, within scope, and meet quality standards.
• Technical Excellence:
• Stay abreast of the latest developments in AI, machine learning, and data science.
  
  
• Apply best practices and emerging technologies to enhance the organization’s AI capabilities.
• Develop custom tools and utilities to enhance the generative AI pipeline. These tools may include data preprocessing scripts, model evaluation dashboards, and content visualization interfaces.
  
  
• Streamline repetitive tasks by automating processes, improving efficiency, and reducing manual intervention.
  
  
• Collaborate with QA engineers to design comprehensive test suites for the generative AI models.
  
  
• Write unit tests to validate individual components, ensuring robustness and reliability.
  
  
• Work closely with data scientists to create diverse and effective prompts for the generative models.
  
  
• Participate in prompt fine-tuning experiments to improve model performance.
  
  
• Integrate generative AI models into existing applications and services via APIs.
  
  

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• Ensure seamless deployment across various platforms, including cloud environments.
  
  
• Cross-Functional Communication: Collaborate with data engineers, DevOps, and product teams to align project goals.
  
  
• Maintain clear and concise documentation for tools, APIs, and integration procedures
  
  
• Effectively communicate complex technical concepts to both technical and non-technical stakeholders.
  

Qualifications

• Bachelor's Degree or Master’s Degree in Computer Science, Data Science, or related quantitative field with a minimum 10 years of relevant professional experience.
  
  
• 3+ years of experience in a Technical Lead or equivalent role
  
  

Desired Characteristics

Technical Acumen:

• Strong proficiency in Python
  
  
• Strong understanding of statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and experimental design
  
  
• Deep expertise in model development, pre-training, and implementation of AI algorithms—including vision AI, predictive analytics, LLM-based applications, and anomaly detection
  
  
• Familiarity with cloud AI platforms, and experience with MLOps pipelines are essential
  
  
• Experience with SQL and working with relational and/or NoSQL databases
  
  
• Experience using modern development tooling such as Git and testing frameworks
  
  
• General understanding of the impacts of technology choice to the software development life
  
  
• Aware of methods and practices such as Lean/Agile/XP, etc.
  
  
• General understanding of the impacts of technology choice to the software development life cycle.
  
  

Business Acumen

• Has the ability to break down problems and estimate time for development tasks.
  
  
• Understands the technology landscape, up to date on current technology trends and new technology, brings new ideas to the team.
  
  

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• Displays understanding of the project's value proposition for the customer. Shows commitment to deliver the best value proposition for the targeted customer.
  
  
• Learns organization vision statement and decision making framework. Able to understand how team and personal goals/objectives contribute to the organization vision
  
  

Leadership Attributes

• Voices opinions and presents clear rationale. Uses data or factual evidence to influence.
  
  
• Learns organization vision statement and decision making framework. Able to understand how team and personal goals/objectives contribute to the organization vision.
  
  
• Completes assigned tasks on time and with high quality. Takes independent responsibility for assigned deliverables.
  
  
• Has the ability to break down problems and estimate time for development tasks.
  
  
• Seeks to understand problems thoroughly before implementing solutions. Asks questions to clarify requirements when ambiguities are present.
  
  
• Identifies opportunities for innovation and offers new ideas. Takes the initiative to experiment with new software frameworks
  
  
• Adapts to new environments and changing requirements. Pivots quickly as needed. When coached, responds to need & seeks info from other sources
  
  
• Write code that meets standards and delivers desired functionality using the technology selected for the project
  
  

Eligibility

• The preferred work location for this role is at the GEH Headquarters in Wilmington, NC; but highly qualified (US based) remote candidates will be considered.
  
  
• This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.
  
  

This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.

Additional Information

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 $113,200.00 and $188,800.00. 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: ineligible.

This posting is expected to remain open for at least seven days after it was posted on February 06, 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.