Artificial Intelligence Machine Learning Solutions Engineer II

Locations: Charlotte

About the role

The AI / ML Solutions Engineer II is responsible for independently designing, building, and leading advanced AI, machine learning, automation, and intelligent analytical solutions that address highly complex business needs. This role owns end-to-end technical execution for major advanced solution efforts and helps the organization solve higher-value problems through predictive insights, automation, and emerging technologies.

Responsibilities

• Independently design, build, and lead advanced AI, machine learning, automation, and analytical solutions for highly complex business needs
• Define technical architectures, implementation approaches, and lifecycle plans for innovation-led use cases
• Prepare, test, validate, and optimize data, models, logic, and solution components to ensure solution quality, reliability, and business value
• Partner with Data Solutions Leads, business stakeholders, and technical teams to shape practical advanced solution strategies
• Monitor, maintain, enhance, and document deployed AI, ML, or automation solutions to support sustainability, reuse, and ongoing value realization
• Other duties as assigned

Requirements

• Deep experience in AI, machine learning, advanced analytics, automation, or intelligent solution development
• Strong proficiency in Python, SQL, and advanced technical tools used for model development, orchestration, and deployment
• Experience leading end-to-end design and implementation of predictive, optimization, classification, recommendation, or LLM-based solutions
• Ability to define technical approaches, evaluate tradeoffs, and lead advanced solution lifecycles independently
• Strong understanding of data preparation, model evaluation, performance tuning, monitoring, and operationalization
• Ability to translate complex business needs into practical and scalable advanced technical solutions
• Strong collaboration and communication skills with solution leads, stakeholders, and technical contributors
• Ability to create new technical patterns or approaches when established methods are insufficient

Qualifications

• Bachelor’s degree (4 years)
• 7 or more years experience

Preferred Qualifications

• Bachelor’s degree in Computer Science, Data Science, Information Systems, Software Engineering, Statistics, Mathematics, or a related technical field

Benefits

• 401(k) match
• Health coverage
• Employee stock purchase plan
• Dedicated training + personalized mentorship