AI Solutions Engineer for Finance & Markets

Raymond James; Saint Petersburg (FL); Hybrid; USD 56,000 - 76,000; Full time

Job summary

Raymond James is seeking an AI Business Engineer to accelerate the adoption of generative AI across Investment Bank and Capital Markets & Advisory functions. You will design, build, and improve GPT-powered solutions, support prompt engineering, and help create scalable, well-documented AI workflows.

The role blends technical curiosity with business understanding, delivering training and guidance to finance professionals while partnering with stakeholders to drive innovation and measurable value.

Qualifications

• 1–4 years of experience in technology, software, digital innovation, or related roles.
• Strong interest in generative AI, automation, and modern software platforms.
• Working knowledge of Python and SQL to support data exploration, workflow automation, and AI prototype development; deep software engineering not required.

Responsibilities

• Support the design, development, testing, and ongoing improvement of GPTs, AI-powered workflows, and agent-based solutions.
• Assist with prompt engineering, prompt optimization, and documentation of effective prompting patterns and use cases.
• Maintain standards, best practices, and internal documentation related to AI tools, automation, and innovation platforms.
• Provide hands-on support to internal users, troubleshooting issues and improving user experience with AI-enabled tools.
• Design and deliver role-specific training to finance professionals.
• Contribute to innovation roadmaps through research, analysis, and execution support.

Skills

Generative AI

Python

SQL

Excel (Advanced)

Vendor management

Project management

Communication

Education

Bachelor's degree

Tools

PowerPoint

Job description

Raymond James is seeking an AI Business Engineer to accelerate the adoption of generative AI across Investment Bank and Capital Markets & Advisory functions. You will design, build, and improve GPT-powered solutions, support prompt engineering, and help create scalable, well-documented AI workflows.

The role blends technical curiosity with business understanding, delivering training and guidance to finance professionals while partnering with stakeholders to drive innovation and measurable value.