Requisition ID: 264821Locations: Charlotte Click here to experience a Day in the Life of our Teammates!
Job OverviewThe 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
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