AI Specialist

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: 

• Design, develop, and deploy AI/ML models to support business and ministry objectives. 
• Work the IT Director to plan and design AI automations 
• Identify opportunities to implement AI-driven automation across organizational processes.
• Build, train, test, and optimize machine learning and deep learning models. 
• Collaborate with IT, data, and business teams to define AI requirements and use cases.
• Develop and maintain data pipelines for AI model training and inference. 
• Design, develop, and deploy AI and machine learning solutions including natural language processing, computer vision, recommendation systems, and generative AI applications.
• Integrate AI capabilities into existing ministry systems such as content management, customer relationship management (CRM), broadcasting, and digital outreach platforms.
• Develop and maintain AI-driven automation workflows to streamline repetitive tasks across departments, including data entry, scheduling, correspondence, and reporting.
• Build and manage prompt engineering strategies, fine-tuning approaches, and retrieval-augmented generation (RAG) pipelines for ministry-specific use cases.
• Collaborate with content, media, and communications teams to leverage AI for content creation, transcription, translation, summarization, and personalization.
• Monitor AI model performance, accuracy, and ethical compliance; implement feedback loops and continuous improvement processes.
• Establish and enforce data governance, privacy, and security best practices as they relate to AI systems and the data they consume.
• Monitor model performance and implement improvements for accuracy, scalability, and efficiency. · Ensure data quality, governance, and compliance with security standards. 
• Research and recommend emerging AI technologies, tools, and frameworks. 
• Develop natural language processing (NLP), computer vision, or predictive analytics solutions as needed. 
• Create and maintain documentation for AI systems, models, and processes. 
• Provide technical guidance and training to team members on AI-related tools and practices. 
• Assist in the evaluation and implementation of AI platforms such as Azure AI, AWS AI/ML, or other cloud-based services. 
• Ensure responsible AI usage, including bias mitigation, transparency, and ethical considerations.
• Participate in cross-functional projects to enhance digital transformation initiatives. · Support troubleshooting and resolution of AI-related system issues. 
• Stay current with advancements in AI, machine learning, and data science. 
• May require participation in events or initiatives that involve AI-enabled systems. 
• Other duties as assigned by management.

Requirements

PREFERRED EXPERIENCE:

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent work experience.
• 7+ years of hands-on experience designing, building, and deploying AI/ML solutions in a professional environment.
• Demonstrated proficiency with AI/ML frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, LangChain, or similar.
• Experience with cloud-based AI services including Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI API.
• Strong programming skills in Python; experience with JavaScript, SQL, and API development is a plus.
• Experience with large language models (LLMs), prompt engineering, fine-tuning, and retrieval-augmented generation (RAG).
• Familiarity with data engineering concepts including ETL pipelines, data warehousing, and database management.
• Experience with automation and integration platforms such as Power Automate, Zapier, or Make.
• Relevant certifications in AI/ML (e.g., AWS Machine Learning Specialty, Google Professional ML Engineer, Microsoft Azure AI Engineer) preferred.
• Experience working in a nonprofit, ministry, or media-driven organization is a plus.

KNOWLEDGE, SKILLS, AND ABILITIES: 

• Strong understanding of machine learning algorithms, deep learning architectures, natural language processing, and computer vision.
• Proficiency in data analysis, statistical modeling, and data visualization tools such as Power BI, Tableau, or Python-based libraries.
• Solid understanding of AI ethics, bias detection and mitigation, and responsible AI deployment practices.
• Experience with version control systems (Git), CI/CD pipelines, and containerization technologies (Docker, Kubernetes).
• Excellent written and verbal communication skills with the ability to explain technical AI concepts to non-technical stakeholders.
• Strong project management and organizational skills; ability to manage multiple AI initiatives simultaneously.
• Ability to learn and implement new technologies independently by utilizing readily available resources (documentation, research papers, online courses, etc.).
• On-call availability: must be available on nights, weekends, and holidays as needed to support AI systems in a 24x7 environment.
• High level of analytical and critical thinking skills to solve complex problems.
• Confident, self-starting, innovative, and goal oriented.

EQUIPMENT TO BE USED: 

• Standard office equipment and modern AI development tools, platforms, and computing environments.

TYPICAL PHYSICAL DEMANDS: 

• Ability to sit and work at a computer for extended periods. 
• Occasional standing, walking, bending, and lifting (up to 20–30 lbs.). 
• Requires normal range of hearing and vision.

TYPICAL MENTAL DEMANDS: 

• Ability to analyze complex datasets and systems to derive insights and solutions. 
• Must be highly organized and detail oriented. 
• Ability to work with complex technical concepts and adapt to evolving technologies. 
• Strong problem-solving and decision-making skills. 
• Ability to prioritize and manage multiple concurrent tasks. · Must communicate effectively in both written and verbal formats. 
• Ability to collaborate across teams and interact with individuals at all levels.

WORKING CONDITIONS: 

• Works in a normal/typical office environment with minimal supervision. 
• Adherence to the Ministry’s policies, procedures, and standards is required. 
• Team-oriented environment requiring collaboration and professionalism.

OTHER: 

• Born again believer and must adhere to the doctrines of this organization as upheld by Kenneth and Gloria Copeland and their appointed representatives. 
• Must work well with others as a team and maintain unity. 
• Must maintain a good attendance record.