Artificial Intelligence Machine Learning Solutions Engineer I

About the role

We're building meaningful careers and vibrant communities. Join our team where your talent meets purpose, and every teammate directly shapes our success. The AI / ML Solutions Engineer I designs, builds, and supports advanced AI, machine learning, automation, and intelligent analytical solutions that address complex business needs. This role develops technical capabilities that extend beyond standard data product delivery and helps the organization solve higher-value problems through predictive insights, automation, and emerging technologies.

Responsibilities

• Design, build, and implement AI, machine learning, automation, and advanced analytical solutions that address complex business needs
• Evaluate technical feasibility, define solution approaches, and develop prototypes or production-ready components for innovation-led use cases
• Prepare, test, and validate data, models, logic, and solution components to ensure quality, reliability, and business usefulness
• Partner with Data Solutions Leads, business stakeholders, and technical teams to align advanced solutions to business goals and operational needs
• Monitor, maintain, enhance, and document deployed AI, ML, or automation solutions to support sustainability and ongoing value realization
• Other duties as assigned

Requirements

• Strong experience in AI, machine learning, advanced analytics, automation, or intelligent solution development
• Proficiency in Python, SQL, and other technical tools used for data science, automation, and model development
• Experience designing and implementing predictive, classification, recommendation, optimization, or LLM-based solutions
• Ability to evaluate technical feasibility and translate business problems into scalable technical approaches
• Understanding of data preparation, feature engineering, model testing, validation, and solution monitoring
• Experience integrating advanced solutions into business processes, applications, or reporting environments
• Strong communication skills and ability to collaborate with business partners, Data Solutions Leads, and other technical resources
• Ability to work through ambiguity and build practical, production-minded solutions

Qualifications

• Bachelor’s degree (4 years)
• 5 to up to 7 years of relevant experience

Bachelor’s degree in Computer Science, Data Science, Information Systems, Software Engineering, Statistics, Mathematics, or a related technical field is preferred.

Benefits

• 401(k) match
• Health coverage
• Employee stock purchase plan
• Dedicated training and personalized mentorship

Clear pathways to advance and develop your career in a purpose-driven environment where you create meaningful impact in the communities you serve.