• AI Solutions Developer (All Levels)

    South Texas Project Nuclear Operating Company (Wadsworth, TX)


    The South Texas Project Electric Generating Station is one of the newest and largest nuclear power facilities in the nation. STP's two units produce 2,700 megawatts of carbon-free electricity - providing clean energy to two million Texas homes. Through our uncompromising commitment to nuclear safety and continuous focus on improving plant operations, STP has emerged as an industry leader. Our 1,200 employees maintain an ongoing commitment to the safe and reliable operation of the facility. The company's culture and core values focus on safety, integrity, teamwork and excellence.

    SUMMARY

    The Artificial Intelligence (AI) Solutions Developer is responsible for designing, implementing, validating, and supporting AI solutions that enhance the safety, reliability, and efficiency of nuclear operations and business processes. This role bridges business needs and technical implementation, ensuring all AI applications are explainable, auditable, secure, and compliant with nuclear regulatory and quality requirements. The position works closely with engineering, operations, maintenance, IT, cybersecurity, quality assurance, and regulatory affairs to deploy AI solutions that support decision-making while maintaining appropriate human oversight.

     

    AI Solutions Developer Assoc

    EDUCATION

    • Bachelor’s degree in Computer Science, Data Science, AI or related field (Preferred)

    • Without the above degree, 5 additional years in Computer Science, Data Science, AI or related field may be considered.

    EXPERIENCE

    • No experience is required.

    LICENSE/CERTIFICATIONS

    • Certifications in AI or Cloud Architecture (Azure AI Engineer, Data Engineer, etc.) (Preferred)

    ESSENTIAL RESPONSIBILITIES

    • Define and implement the organization’s AI and data strategy aligned with business goals and governance standards.

    • Design and develop scalable data pipelines, architectures, and frameworks to support LLM training and deployment.

    • Leverage Microsoft CoPilot Studio and generative AI tools to build and integrate custom AI copilots and conversational agents.

    • Develop, fine-tune, and evaluate LLM-based chatbots and domain-specific AI assistants for enterprise functions.

    • Collaborate with cross-functional teams (data engineers, product managers, and business stakeholders) to identify use cases and deliver AI-driven value.

    • Establish data management, lifecycle governance, and model security best practices.

     

    AI Solutions Developer

    EDUCATION

    • Bachelor’s degree in Computer Science, Data Science, AI or related field (Preferred)

    • Without the above degree, 5 additional years in Computer Science, Data Science, AI or related field may be considered.

    EXPERIENCE

    • 2 Years of experience across data science, AI, or data architecture roles.

    LICENSE/CERTIFICATIONS

    • Certifications in AI or Cloud Architecture (Azure AI Engineer, Data Engineer, etc.) (Preferred)

    ESSENTIAL RESPONSIBILITIES

    • Define and implement the organization’s AI and data strategy aligned with business goals and governance standards.

    • Design and develop scalable data pipelines, architectures, and frameworks to support LLM training and deployment.

    • Leverage Microsoft CoPilot Studio and generative AI tools to build and integrate custom AI copilots and conversational agents.

    • Develop, fine-tune, and evaluate LLM-based chatbots and domain-specific AI assistants for enterprise functions.

    • Collaborate with cross-functional teams (data engineers, product managers, and business stakeholders) to identify use cases and deliver AI-driven value.

    • Establish data management, lifecycle governance, and model security best practices.

     

    AI Solutions Developer Sr

    EDUCATION

    • Bachelor’s degree in Computer Science, Data Science, AI or related field (Preferred)

    • Without the above degree, 5 additional years in Computer Science, Data Science, AI or related field may be considered.

    EXPERIENCE

    • 5 Years of experience across data science, AI, or data architecture roles.

    LICENSE/CERTIFICATIONS

    • Certifications in AI or Cloud Architecture (Azure AI Engineer, Data Engineer, etc.) (Preferred)

    ESSENTIAL RESPONSIBILITIES

    • Define and implement the organization’s AI and data strategy aligned with business goals and governance standards.

    • Design and develop scalable data pipelines, architectures, and frameworks to support LLM training and deployment.

    • Leverage Microsoft CoPilot Studio and generative AI tools to build and integrate custom AI copilots and conversational agents.

    • Develop, fine-tune, and evaluate LLM-based chatbots and domain-specific AI assistants for enterprise functions.

    • Collaborate with cross-functional teams (data engineers, product managers, and business stakeholders) to identify use cases and deliver AI-driven value.

    • Establish data management, lifecycle governance, and model security best practices.

     

    AI Solutions Developer Staff

    EDUCATION

    • Bachelor’s degree in Computer Science, Data Science, AI or related field (Preferred)

    • Without the above degree, 5 additional years in Computer Science, Data Science, AI or related field may be considered.

    EXPERIENCE

    • 8 Years of experience across data science, AI, or data architecture roles.

    LICENSE/CERTIFICATIONS

    • Certifications in AI or Cloud Architecture (Azure AI Engineer, Data Engineer, etc.) (Preferred)

    ESSENTIAL RESPONSIBILITIES

    • Define and implement the organization’s AI and data strategy aligned with business goals and governance standards.

    • Design and develop scalable data pipelines, architectures, and frameworks to support LLM training and deployment.

    • Leverage Microsoft CoPilot Studio and generative AI tools to build and integrate custom AI copilots and conversational agents.

    • Develop, fine-tune, and evaluate LLM-based chatbots and domain-specific AI assistants for enterprise functions.

    • Collaborate with cross-functional teams (data engineers, product managers, and business stakeholders) to identify use cases and deliver AI-driven value.

    • Establish data management, lifecycle governance, and model security best practices.

    • Serve as subject matter expert for model interpretability, prompt engineering, and human-AI collaboration.

     

    AI Solutions Developer Consult

    EDUCATION

    • Bachelor’s degree in Computer Science, Data Science, AI or related field (Preferred)

    • Without the above degree, 5 additional years in Computer Science, Data Science, AI or related field may be considered.

    EXPERIENCE

    • 10 Years of experience across data science, AI, or data architecture roles.

    LICENSE/CERTIFICATIONS

    • Certifications in AI or Cloud Architecture (Azure AI Engineer, Data Engineer, etc. (Preferred)

    ESSENTIAL RESPONSIBILITIES

    • Define and implement the organization’s AI and data strategy aligned with business goals and governance standards.

    • Design and develop scalable data pipelines, architectures, and frameworks to support LLM training and deployment.

    • Leverage Microsoft CoPilot Studio and generative AI tools to build and integrate custom AI copilots and conversational agents.

    • Develop, fine-tune, and evaluate LLM-based chatbots and domain-specific AI assistants for enterprise functions.

    • Collaborate with cross-functional teams (data engineers, product managers, and business stakeholders) to identify use cases and deliver AI-driven value.

    • Establish data management, lifecycle governance, and model security best practices.

    • Serve as subject matter expert for model interpretability, prompt engineering, and human-AI collaboration.

    SPECIAL SKILLS, KNOWLEDGE AND QUALIFICATIONS

    • Experience with Large Language Models (LLM) such as OpenAI, Azure OpenAI, Hugging Face, Anthropic, etc.

    • Expertise with Microsoft CoPilot Studio, Power Platform, or similar generative AI ecosystems.

    • Strong programming skills in Python, SQL, and knowledge of data engineering frameworks.

    • Proficiency in cloud AI platforms (Azure AI, AWS Sagemaker, or GCP Vertex AI).

    • Understanding prompt optimization, retrieval-augmented generation, and model deployment pipelines.

    • Proven experience in designing production-grade chatbots and AI agents.

    OTHER RESPONSIBILITIES

    • Accept ERO position as needed.

    • Accept outage position as needed.

    • Ability to obtain and maintain unescorted access if needed.

    • Successfully complete General Employee Training (GET) as required for position.

    WORKING CONDITIONS

    • Overtime and alternate work schedules as needed.

    • Subject to callouts twenty-four hours per day seven days per week.

    • Travel may be required.

    • May be required to carry a phone.

    WORK LOCATION

    • Due to the nature of the work, this position provides the ability for a hybrid work schedule between Site and an alternate work location. Alternate work locations require adequate technology and a solid ergonomic setup is present. Note: Work schedules are contingent on business need.

     

    Posting closes - January 26, 2026

     

    STP is an equal employment and affirmative action employer and is committed to nondiscrimination in all matters relating to employment throughout the organization. STP will make every good faith effort to meet or exceed its affirmative action goals and commitments.

     

    We thank all individuals for their interest; however, only those chosen for an interview will be contacted.

     

    NOTE: In order to be considered for this position you must complete the entire application process, which includes answering all prescreening questions and providing your eSignature on or before the requisition closing date.

    Job Details

    Pay Type Salary