Job Description Summary

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.

Job Description

Essential Responsibilities

In this role, you will:

• 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 

Required Qualifications

• Bachelor's Degree in Computer Science, Data Science, or related quantitative field.
• Minimum 5 years of experience in AI Data Science.

Eligibility Requirements

• 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.

Desired Qualifications

Technical Expertise:

• 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.
• 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.

Personal/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