Bachelor's degree in a relevant field preferred but not mandatory
7+ years of experience in AI, machine learning, or automation
Deep expertise in Python, SQL, and related technical tools
Experience with end-to-end design and implementation of complex solutions
Strong collaboration and communication skills
Ability to independently drive advanced solution lifecycles
Responsibilities
Design and lead AI and ML solutions for complex business problems
Define architectural approaches and implementation strategies
Test, validate, and optimize data and models for quality assurance
Collaborate with stakeholders to develop advanced solution strategies
Monitor and enhance deployed solutions for ongoing value
Benefits
Comprehensive benefits package to support work-life balance
Opportunities for professional development and growth
Collaborative and innovative work environment
Focus on sustainability and reusability of solutions
Full Job Description
Requisition ID: 264821
Locations: Charlotte
Click here to experience a Day in the Life of our Teammates!
Job Overview
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.
Duties & 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
Knowledge, Skills, & Abilities
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
Minimum 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 is preferred.
Work Environment
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
