AI-Driven Process Optimization Engineer

Forrest T. Jones & Company; Kansas City (MO); On-site; USD 95,000 - 140,000; Full time

Benefits offered by this job

Medical insurance

STD/LTD/Life insurance

Dental insurance

Vision insurance

401(k) with company matching

Paid time off

Job summary

Forrest T. Jones & Company seeks an AI Process Optimization Engineer to identify and improve business processes using AI, automation, and data analytics.

You will work with stakeholders, IT, and data professionals to evaluate AI opportunities, develop intelligent process solutions, and ensure measurable business value from AI initiatives. The role involves applying Lean and Six Sigma, developing process maps, and building dashboards to track performance while integrating AI into enterprise

Qualifications

• Bachelor's degree in a related field.
• 3–7 years of experience in process improvement, industrial engineering, business systems, analytics, or related disciplines.
• Experience with BPM methodologies.
• Knowledge of AI, Machine Learning, Generative AI, or intelligent automation technologies.
• Experience using data analysis and visualization tools.
• Strong analytical and problem‑solving skills.
• Excellent communication and stakeholder management abilities.

Responsibilities

• Analyze end-to-end business processes to identify inefficiencies and opportunities for optimization.
• Apply Lean, Six Sigma, Industrial Engineering, and continuous improvement methodologies.
• Develop process maps, workflow diagrams, and value stream analyses.
• Establish baselines and track improvement metrics.
• Evaluate and implement AI technologies to improve operational efficiency.
• Identify use cases for Machine Learning, Generative AI, Intelligent Document Processing, and Predictive Analytics.
• Partner with the BPMO team to design, test, and deploy AI-powered solutions.
• Develop business cases supporting AI investments and transformation initiatives.
• Analyze data to uncover trends and opportunities; create dashboards and reporting tools.
• Use predictive and prescriptive analytics to improve planning and decision-making.
• Ensure data integrity and governance standards.
• Identify opportunities to integrate AI into enterprise systems.
• Support system enhancement projects and digital transformation programs.
• Assist with requirements gathering, solution design, and user acceptance testing.
• Educate stakeholders on AI opportunities and capabilities.
• Support organizational readiness and adoption of AI-enabled processes.
• Develop training materials and best practices for AI utilization.
• Monitor solution effectiveness and drive continuous improvements.

Skills

Analytical thinking

Problem solving

Communication

Stakeholder management

Education

Bachelor's degree in Business Analytics, Computer Science, Industrial Engineering, Systems Engineering, Operations Management, or related field

Bachelor’s in data science, Business Analytics, Industrial Engineering, AI, or related field

Tools

Power BI

SQL

Process Mining (Celonis | Microsoft Process Advisor)

Microsoft Power Platform

Azure AI

Job description

Forrest T. Jones & Company seeks an AI Process Optimization Engineer to identify and improve business processes using AI, automation, and data analytics.

You will work with stakeholders, IT, and data professionals to evaluate AI opportunities, develop intelligent process solutions, and ensure measurable business value from AI initiatives. The role involves applying Lean and Six Sigma, developing process maps, and building dashboards to track performance while integrating AI into enterprise