AI Solutions Specialist
IIAW
Job Description
Job Description
Benefits:
- 401(k) matching
- Bonus based on performance
- Competitive salary
- Dental insurance
- Health insurance
- 401(k)
- 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.
- 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.
- 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.
- 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 with tools such as Microsoft 365 Copilot, Copilot Studio, ChatGPT, Claude, Power Automate, Zapier, Make, APIs, connectors, or similar platforms. You do not need experience with every tool listed.
- Basic familiarity with coding or scripting—such as Python, JavaScript, JSON, SQL, or API concepts—is helpful, along with the willingness to deepen those skills.
- Strong problem-solving skills and the persistence to test, troubleshoot, learn from failure, and improve a solution until it works reliably.
- Clear written and verbal communication skills and the ability to explain technical ideas to nontechnical users.
- Demonstrated ability to communicate and build relationships with individuals across a variety of roles, experience levels, and technical backgrounds.
- Good judgment and a willingness to learn responsible practices involving privacy, cybersecurity, data governance, intellectual property, accuracy, and human oversight.
- Self-direction, curiosity, humility, and comfort working in an environment where technology and priorities evolve quickly.
- Insurance experience is not required but preferred. IIAW will provide the industry context and support needed to learn the independent agency channel.
Vacancy posted 6 days ago
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