Artificial Intelligence Machine Learning Solutions Engineer II

Saved job description

Requisition ID: 264821

Locations: Charlotte  

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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

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Equal Opportunity Employer - All qualified applicants will be considered for employment without regard to disability, protected veteran status, or any other characteristic protected by applicable law.