AI Design Engineer (Remote Eligible, U.S.)

GE Vernova-posted 4 days ago
$98,400 - $164,000/Yr
Full-time • Mid Level
Remote • Wilmington, NC
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The AI Design Engineer will lead the technical development and deployment of advanced AI, machine learning, and GenAI solutions across the nuclear and energy domains. This role requires deep expertise in model development, pre-training, and implementation of AI algorithms—including vision AI, predictive analytics, LLM-based applications, and anomaly detection. 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 data science 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.

  • 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. 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
  • Bachelor's Degree in Computer Science, Data Science, or related quantitative field.
  • Minimum 5 years of experience in AI Data Science.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • The base pay range for this position is $99K - $140K. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. This position is also eligible for bonuses, such as a performance bonus/variable incentive compensation/equity.
  • Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, 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 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 planning consultants.
  • Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness.
  • For candidates applying to a U.S. based position, the pay range for this position is between $98,400.00 and $164,000.00.
  • 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.
  • 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.
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