Job Description

Position Summary

The AI Solutions Engineer translates business needs into secure, build-ready specifications for AI-enabled software, workflows, and process automations. Working closely with departmental subject-matter experts, this position strengthens business requirements, identifies gaps and risks, guides AI-assisted development, and validates completed solutions.

This hands-on, consultative role supports internal solutions such as dashboards, CRM functionality, accounting automation, system integrations, and agentic workflows. The position also develops employees participating in the company's AI-enabled development process by improving their requirements-development, process-analysis, and AI skills.

Essential Duties and Responsibilities

Requirements and Solution Design

• Partner with subject-matter experts to define business problems, desired outcomes, workflows, and solution requirements.
• Review business requirements documents for completeness, accuracy, feasibility, and alignment with intended business outcomes.
• Identify missing requirements, assumptions, dependencies, process exceptions, data requirements, user roles, system states, and potential risks.
• Document current-state and future-state processes and recommend opportunities to simplify or improve workflows.
• Convert validated business requirements into detailed technical and functional specifications suitable for AI-assisted development.
• Translate technical limitations and options into clear language that business users can understand and act upon.
• Ensure proposed solutions align with established business processes, internal controls, and organizational priorities.

AI-Assisted Solution Delivery

• Direct AI-assisted development using approved specifications, tools, and development practices.
• Review completed solutions against approved requirements and acceptance criteria.
• Coordinate user validation, document deficiencies, and guide subsequent revisions.
• Investigate gaps between delivered functionality and business requirements and determine whether corrections are needed in the requirements, specifications, tools, or implementation.
• Remain engaged throughout the solution lifecycle, from initial discovery through implementation and post-delivery refinement.
• Improve the templates, prompts, standards, and methods used to move solutions from initial request to implementation.

Employee Coaching and Enablement

• Coach designated departmental employees, known internally as Flowgrammers, in requirements development, process analysis, and effective use of AI tools.
• Provide constructive technical feedback while maintaining the subject-matter expert's ownership of the business solution.
• Develop reusable templates, guides, skills, and tools that help employees produce complete and reliable requirements.
• Teach employees how to assemble relevant context, evaluate AI-generated output, break complex problems into manageable tasks, and refine work through iteration.
• Evaluate work products against established proficiency standards and recommend development opportunities.
• Identify recurring weaknesses and opportunities across departments and create initiatives that improve the overall quality of AI-enabled solution development.

AI Tooling, Integrations, and Governance

• Define the system access, data access, business rules, and permissions required for AI-enabled tools, agents, and workflows.
• Design limited-access models that provide only the permissions necessary to complete an approved business function.
• Prepare detailed tooling and permission requirements for review under established internal controls.
• Collaborate with technical engineers responsible for building and deploying backend tools, connectors, and system integrations.
• Evaluate APIs, databases, enterprise platforms, authentication methods, and data flows to determine solution feasibility and risk.
• Monitor developments in AI technology and recommend appropriate updates to internal practices, tools, and standards.

Required Qualifications

• Experience analyzing business processes and translating business needs into functional or technical requirements.
• Demonstrated ability to identify incomplete requirements, unaddressed exceptions, dependencies, data implications, and operational risks.
• Experience writing clear, detailed specifications for software, workflow automation, or AI-assisted development.
• Working knowledge of large language models, AI agents, and the capabilities and limitations of generative AI.
• Understanding of APIs, databases, authentication, system integrations, and data flows.
• Ability to use a scripting language such as Python for analysis, prototyping, integration support, or troubleshooting.
• Strong analytical, problem-solving, written communication, and documentation skills.
• Ability to communicate effectively with technical and nontechnical stakeholders.
• Demonstrated ability to coach others, deliver constructive feedback, and support organizational change.
• Ability to manage multiple initiatives and remain engaged from requirements gathering through delivery.