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
- 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
About us
We're more than beverages—we're building meaningful careers and vibrant communities. Join our team where your talent meets purpose, and every teammate directly shapes our success. Career growth, competitive benefits, and professional development opportunities are designed to help you create meaningful impact in the communities you serve.