Description:
This position is responsible for designing, developing, implementing, and maintaining artificial intelligence (AI) solutions that support and enhance the Ministry’s operational efficiency, decision-making capabilities, and digital innovation initiatives. The AI Specialist will work across departments to identify opportunities for automation, data-driven insights, and intelligent system integration while ensuring ethical, secure, and scalable AI practices. This role also requires a blend of technical expertise in AI/ML technologies, strong communication skills, and the ability to translate complex concepts into practical ministry applications.
PRIMARY DUTIES AND RESPONSIBILITIES:
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Design, develop, and deploy AI/ML models to support business and ministry objectives.
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Work the IT Director to plan and design AI automations
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Identify opportunities to implement AI-driven automation across organizational processes.
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Build, train, test, and optimize machine learning and deep learning models.
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Collaborate with IT, data, and business teams to define AI requirements and use cases.
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Develop and maintain data pipelines for AI model training and inference.
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Design, develop, and deploy AI and machine learning solutions including natural language processing, computer vision, recommendation systems, and generative AI applications.
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Integrate AI capabilities into existing ministry systems such as content management, customer relationship management (CRM), broadcasting, and digital outreach platforms.
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Develop and maintain AI-driven automation workflows to streamline repetitive tasks across departments, including data entry, scheduling, correspondence, and reporting.
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Build and manage prompt engineering strategies, fine-tuning approaches, and retrieval-augmented generation (RAG) pipelines for ministry-specific use cases.
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Collaborate with content, media, and communications teams to leverage AI for content creation, transcription, translation, summarization, and personalization.
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Monitor AI model performance, accuracy, and ethical compliance; implement feedback loops and continuous improvement processes.
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Establish and enforce data governance, privacy, and security best practices as they relate to AI systems and the data they consume.
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Monitor model performance and implement improvements for accuracy, scalability, and efficiency. · Ensure data quality, governance, and compliance with security standards.
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Research and recommend emerging AI technologies, tools, and frameworks.
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Develop natural language processing (NLP), computer vision, or predictive analytics solutions as needed.
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Create and maintain documentation for AI systems, models, and processes.
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Provide technical guidance and training to team members on AI-related tools and practices.
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Assist in the evaluation and implementation of AI platforms such as Azure AI, AWS AI/ML, or other cloud-based services.
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Ensure responsible AI usage, including bias mitigation, transparency, and ethical considerations.
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Participate in cross-functional projects to enhance digital transformation initiatives. · Support troubleshooting and resolution of AI-related system issues.
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Stay current with advancements in AI, machine learning, and data science.
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May require participation in events or initiatives that involve AI-enabled systems.
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Other duties as assigned by management.
Requirements:
PREFERRED EXPERIENCE:
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Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent work experience.
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7+ years of hands-on experience designing, building, and deploying AI/ML solutions in a professional environment.
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Demonstrated proficiency with AI/ML frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, LangChain, or similar.
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Experience with cloud-based AI services including Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI API.
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Strong programming skills in Python; experience with JavaScript, SQL, and API development is a plus.
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Experience with large language models (LLMs), prompt engineering, fine-tuning, and retrieval-augmented generation (RAG).
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Familiarity with data engineering concepts including ETL pipelines, data warehousing, and database management.
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Experience with automation and integration platforms such as Power Automate, Zapier, or Make.
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Relevant certifications in AI/ML (e.g., AWS Machine Learning Specialty, Google Professional ML Engineer, Microsoft Azure AI Engineer) preferred.
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Experience working in a nonprofit, ministry, or media-driven organization is a plus.
KNOWLEDGE, SKILLS, AND ABILITIES:
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Strong understanding of machine learning algorithms, deep learning architectures, natural language processing, and computer vision.
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Proficiency in data analysis, statistical modeling, and data visualization tools such as Power BI, Tableau, or Python-based libraries.
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Solid understanding of AI ethics, bias detection and mitigation, and responsible AI deployment practices.
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Experience with version control systems (Git), CI/CD pipelines, and containerization technologies (Docker, Kubernetes).
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Excellent written and verbal communication skills with the ability to explain technical AI concepts to non-technical stakeholders.
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Strong project management and organizational skills; ability to manage multiple AI initiatives simultaneously.
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Ability to learn and implement new technologies independently by utilizing readily available resources (documentation, research papers, online courses, etc.).
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On-call availability: must be available on nights, weekends, and holidays as needed to support AI systems in a 24x7 environment.
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High level of analytical and critical thinking skills to solve complex problems.
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Confident, self-starting, innovative, and goal oriented.
EQUIPMENT TO BE USED:
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Standard office equipment and modern AI development tools, platforms, and computing environments.
TYPICAL PHYSICAL DEMANDS:
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Ability to sit and work at a computer for extended periods.
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Occasional standing, walking, bending, and lifting (up to 20–30 lbs.).
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Requires normal range of hearing and vision.
TYPICAL MENTAL DEMANDS:
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Ability to analyze complex datasets and systems to derive insights and solutions.
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Must be highly organized and detail oriented.
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Ability to work with complex technical concepts and adapt to evolving technologies.
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Strong problem-solving and decision-making skills.
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Ability to prioritize and manage multiple concurrent tasks. · Must communicate effectively in both written and verbal formats.
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Ability to collaborate across teams and interact with individuals at all levels.
WORKING CONDITIONS:
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Works in a normal/typical office environment with minimal supervision.
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Adherence to the Ministry’s policies, procedures, and standards is required.
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Team-oriented environment requiring collaboration and professionalism.
OTHER:
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Born again believer and must adhere to the doctrines of this organization as upheld by Kenneth and Gloria Copeland and their appointed representatives.
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Must work well with others as a team and maintain unity.
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Must maintain a good attendance record.
