AI Solutions Support Specialist

AC Disaster Consulting • Denver, CO

3d • Remote

About The Position

We are a leading, national consulting firm that provides compassionate, full-spectrum emergency management services including planning and preparedness, response, recovery, and mitigation services to the public and private sectors before, during and after natural disaster or catastrophic event. Our mission is to provide compassionate consulting services to local, state, federal, and industry clients, active in disaster response, recovery, and preparedness. We will be on time, on target, and on budget with the services aligned to the evolving threats and hazards facing our nation. The position will be guided by ACDC’s Corporate Values Platform in all activities.

Position Summary: Job Title: AI Solutions Support Specialist Full Time or Part Time: Full -Time (30+ hours per week) Exempt/Non-Exempt: Non-exempt Temporary/Seasonal/Regular: Temporary Hourly/Salary: $22.00/hr Travel/Location: Remote

Mission of Role/Position Summary: The AI Solutions Support Specialist supports the Data, Technology & Innovation (DTI) team in the development and application of AI-driven tools and process improvements. This role focuses on assisting with the analysis, prototyping, and support of AI-enabled solutions that enhance internal operations and project-based workflows. The position emphasizes practical application of AI technologies, such as automation, data analysis, and natural language processing, within defined business use cases. The specialist will work under the direction of the DTI team to support ongoing initiatives, contribute to solution development, and help ensure outputs are accurate, usable, and aligned with organizational needs. This role is designed as a junior/entry-level technical support position within AI initiatives and does not involve independent ownership or deployment of production AI systems.

Requirements

• Foundational understanding of AI concepts, including machine learning, natural language processing, and automation
• Familiarity with data analysis concepts and tools
• Awareness of AI-assisted workflows and practical business applications
• Basic experience with one or more of the following: Python, SQL, JavaScript/TypeScript, or R
• Familiarity with data manipulation, scripting, or prototyping environments
• Exposure to Microsoft 365 tools; familiarity with Power Platform or similar tools is a plus
• Understanding of prompt engineering fundamentals and AI-assisted workflows
• Awareness of responsible AI practices, including data privacy, confidentiality, and output validation
• Ability to work within established governance and security guidelines
• Strong problem-solving and critical thinking skills
• Ability to analyze workflows and identify efficiency improvements
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
• Strong written documentation skills
• Ability to work collaboratively in cross-functional environments
• Ability to manage time effectively and handle multiple tasks or projects
• Strong attention to detail and accuracy in documentation and deliverables
• Ability to follow direction and work independently within defined scope
• Demonstrates discretion when handling sensitive or confidential information
• Adaptable to changing priorities and evolving business needs
• Bachelor’s degree (in progress or completed) in Computer Science, Data Science, Artificial Intelligence, Information Systems, Business Analytics, or a closely related field.
• 1+ year experience with foundations of AI concepts such as machine learning, natural language processing, and automation
• 1+ year experience with data analysis tools or platforms
• 1+ year experience or coursework involving programming (e.g., Python, SQL, R, or similar)
• Demonstrated proficiency in MS365.
• Must be 18 years of age or older.
• Eligibility to work in the United States without employer sponsored visa is required.
• Must pass company and any applicable client background check and reference check upon offer of employment.

Nice To Haves

• Reside within reasonable local daily commuting distance to Denver, CO. While this position is remote, some onsite work is required.
• Educational GPA of 3.0 or higher from an accredited higher education program.
• 1+ year experience with hands-on work with AI tools, labs, simulations, or applied coursework
• 1+ year exposure to workflow automation, data analysis, or business process improvement
• 1+ year experience working in team-based or cross-functional environments
• 1+ year exposure to project coordination, documentation, or administrative support roles
• Any experience participating in technical competitions or practical challenges (e.g., CCDC, NCL, hackathons)

Responsibilities

• Support the DTI team in identifying opportunities to apply AI-driven solutions to improve business processes and workflow efficiency.
• Assist in the design, prototyping, and support of AI tools and applications for internal and client-facing use cases.
• Analyze existing workflows and operational processes to identify opportunities for automation and optimization.
• Support data analysis efforts involving structured and unstructured data to generate insights and inform decision-making.
• Assist in validating AI-generated outputs for accuracy, consistency, and usability.
• Troubleshoot operational and technical issues related to AI-supported tools and workflows under team guidance.
• Document processes, methodologies, assumptions, and findings to support transparency, repeatability, and continuous improvement.
• Participate in cross-functional meetings to support collaboration and understand business needs.
• Conduct research on emerging AI tools, frameworks, and best practices relevant to organizational objectives.
• Maintain accurate records of work, documentation, and progress across assigned tasks and projects.
• Perform other duties as assigned.

Benefits

• Temporary positions are not benefits eligible except where required by law.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level