Artificial Intelligence Machine Learning Solutions Engineer II

Uncap Your Potential at America's Largest Coca-Cola Bottler — Pour Your Passion into Purpose! 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: Clear pathways to advance and develop your career • Competitive Benefits: 401(k) match + health coverage + employee stock purchase plan • Purpose-Driven: Create meaningful impact in the communities you serve • Professional Development: Dedicated training + personalized mentorship Join us - your refreshing new chapter starts here! 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 • Other duties as assigned