Senior AI Engineer - Production ML & Cloud Solutions (Hybrid)

BCBSM, Inc.; Eagan (MN); Hybrid; USD 118,000 - 200,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

401k

PTO

VPTO

Job summary

Blue Cross and Blue Shield of Minnesota in Eagan, Minnesota, is seeking a Sr. AI Engineer to advance our AI strategy by turning ML concepts into scalable, production-ready solutions.

You will partner with data science and business teams to automate data pipelines and reduce operational overhead while enabling analysts to work more effectively. The role supports a hybrid work model with two days onsite weekly, collaborating across product, data science, and engineering to deliver reusable AI

Qualifications

• 5+ years of related data analytics & business intelligence professional experience.
• Bachelor’s degree; in lieu of a degree, an additional two years of relevant experience beyond the qualifications listed above may be accepted.

Responsibilities

• Design, build, and deploy production-ready AI/ML solutions from concept through implementation.
• Create reusable frameworks and engineering patterns for consistent product applications.
• Guide cloud migration and integration of AI solutions with reliable lifecycle practices.
• Partner with product, data science, engineering, and business teams to translate needs into scalable solutions.
• Develop and maintain tests for APIs and ML models.

Skills

Python

SQL

AWS

Git

PowerBI

Tableau

Looker

Healthcare data

Cross-functional collaboration

Communication

Education

Bachelor's degree

Tools

AWS

Git

PowerBI

Tableau

Looker

Job description

Blue Cross and Blue Shield of Minnesota in Eagan, Minnesota, is seeking a Sr. AI Engineer to advance our AI strategy by turning ML concepts into scalable, production-ready solutions.

You will partner with data science and business teams to automate data pipelines and reduce operational overhead while enabling analysts to work more effectively. The role supports a hybrid work model with two days onsite weekly, collaborating across product, data science, and engineering to deliver reusable AI