AI Solutions Analyst
About The Position
Larson Financial Holdings LLC is seeking an entry-level AI Solutions Analyst to join the Larson Technology Services team. The role is suited to someone early in their career who is interested in generative AI and applying it to business problems in an enterprise environment. The analyst works with teams across the firm to identify opportunities for AI and builds, configures, tests, and supports AI assistants, agents, and automations using approved tools. The role also helps colleagues adopt these solutions and measures the value they deliver. The analyst works alongside AI engineers and other technology colleagues, gaining hands-on experience across AI, automation, data, and governance. The position includes building AI solutions and low-code workflows; working with business teams to understand requirements and assess use cases; testing solutions for accuracy and safety; supporting adoption and providing first-line assistance; tracking usage and business value; and following responsible AI, security, privacy, data-handling, and recordkeeping requirements. Larson is an equal opportunity employer. All qualified applicants will receive consideration without regard to protected characteristics under applicable law.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Science, Business Analytics, or a related field, or equivalent practical experience.
- At least 2 years of relevant experience; internships, co-ops, capstones, and personal AI projects count.
- Hands-on experience with generative AI tools such as ChatGPT, Claude, or Microsoft Copilot, and strong prompting skills.
- Familiarity with Microsoft 365, including Teams, SharePoint, Excel, and OneDrive.
- Basic experience with low-code tools such as Power Automate or Power Apps, or with a scripting language such as Python.
- Strong analytical skills, including working with data in Excel or similar tools.
- Clear written and verbal communication, including the ability to explain AI to non-technical colleagues.
- Sound judgment about accuracy, risk, and data privacy when using AI.
- Ability to manage multiple requests, prioritize effectively, and follow through.
Nice To Haves
- Experience with Microsoft Copilot Studio, Azure AI services, or the OpenAI or Anthropic APIs.
- Understanding of AI concepts such as retrieval-augmented generation (RAG), agents, and model evaluation.
- Entry-level certifications such as Microsoft Azure AI Fundamentals (AI-900) or Power Platform Fundamentals (PL-900).
- Experience with Power BI, SQL, or other data and reporting tools.
- A portfolio of AI or automation projects.
- Interest in financial services or another regulated industry.
Responsibilities
- Build and configure AI assistants and agents using approved platforms, such as Microsoft Copilot and Copilot Studio, ChatGPT, and Claude.
- Design, write, and refine prompts, instructions, and knowledge sources to improve the reliability of AI outputs.
- Build low-code automations and workflows, such as with Power Automate, that connect AI tools to Microsoft 365 and other business systems.
- Support AI engineers on larger AI and integration projects.
- Work with business teams to understand their work, identify AI use cases, and capture requirements.
- Assess use cases for feasibility, value, data sensitivity, and risk, and help prioritize the pipeline.
- Test AI solutions against realistic scenarios, measure accuracy, and document known limitations.
- Build human review steps into AI workflows when outputs affect clients, finances, or regulated activity.
- Monitor solutions after launch, gather feedback, and make improvements.
- Train colleagues on AI tools and prompting practices through short sessions, guides, and office hours.
- Provide first-line support for AI tools and turn common questions into knowledge-base articles.
- Track AI usage, adoption, time saved, and other value measures, and report results to leadership.
- Build simple dashboards and reports, such as in Power BI or Excel, and help monitor AI license usage and cost.
- Follow Larson's AI use policy and data-handling requirements, including protecting confidential client information.
- Document each AI solution and keep the inventory of AI tools and use cases up to date.
- Work with Compliance and Technology Services colleagues to ensure AI solutions meet security, privacy, and recordkeeping requirements.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Entry Level
