AI Solutions Specialist

Benefits:

• 401(k) matching
• Bonus based on performance
• Competitive salary
• Dental insurance
• Health insurance
• 401(k)

The Opportunity

IIAW is building an AI practice that will improve how our organization works and help independent insurance agencies and Big ‘I’ state associations use artificial intelligence in practical, measurable ways. As our AI Solutions Specialist, you will build AI agents, assistants, automations, and workflow solutions for IIAW and its members while developing valuable experience at the intersection of technology, insurance, and consulting.

This position is designed for a recent college graduate or an early-career professional with up to two years of relevant experience. We are not looking for someone who already knows everything about insurance or has spent a decade in technology. We are looking for a curious builder who learns quickly, enjoys experimenting, can turn ideas into working solutions, and wants to grow with an emerging practice.

What You Will Help Build

• Practical AI agents and automations that make IIAW staff more efficient and improve member service.
• Member-facing AI solutions that help independent agencies solve real workflow and business challenges.
• Reusable templates, prompts, playbooks, and components that can support multiple agencies and associations.
• Responsible AI practices that protect data, promote accuracy, and maintain appropriate human oversight.

Role Focus

• 50% — Internal AI development: Build, test, document, and improve AI agents, assistants, automations, integrations, and knowledge solutions that support IIAW staff and workflows.
• 25% — Member solutions and implementation: Help agencies and associations identify use cases, configure solutions, test pilots, support implementation, and measure results.
• 15% — Education and market adoption: Deliver practical training, demonstrations, playbooks, thought leadership, and follow-up support for staff, members, and association partners.
• 10% — Research and practice development: Explore emerging tools, improve reusable offerings, document what works, and help IIAW expand its AI services over time.

Key Responsibilities

• Build AI agents and assistants. Design, configure, test, deploy, and improve solutions using Microsoft 365 Copilot, Copilot Studio, ChatGPT, Claude, and other approved platforms.
• Automate workflows. Connect tools, data, forms, documents, and business processes using low-code platforms, APIs, connectors, or lightweight code when appropriate.
• Turn needs into working solutions. Meet with staff and members, understand their workflows, identify practical opportunities, and translate those needs into prototypes and production-ready tools.
• Test and improve. Evaluate output quality, accuracy, reliability, usability, security, and business impact; troubleshoot problems and refine solutions based on feedback.
• Build reusable resources. Create templates, prompts, knowledge bases, agent components, documentation, training materials, and implementation playbooks that can scale across users and organizations.
• Support implementation. Help agencies and associations pilot solutions, configure tools, train users, gather feedback, and measure outcomes.
• Promote responsible AI. Follow IIAW standards for privacy, security, data governance, intellectual property, accuracy, documentation, and human oversight.
• Teach what you learn. Provide approachable demonstrations, training, office hours, and written guidance for people with varying levels of technical experience.
• Stay curious. Research emerging AI capabilities and insurance-industry use cases, experiment responsibly, and share recommendations with the team.
• Manage your work. Maintain project plans, priorities, documentation, and progress updates while asking for guidance when needed.

What You Bring

• A bachelor’s degree in computer science, information systems, data science, business analytics, engineering, emerging technology, or a related field; equivalent hands-on experience will also be considered.
• One to four years of relevant professional experience. Internships, capstone projects, freelance work, student organizations, hackathons, and personal projects all count.
• Demonstrated experience building at least one useful AI agent, assistant, automation, chatbot, application, or workflow. We welcome examples from coursework, internships, employment, or personal projects.
• Familiarity…