What are the responsibilities and job description for the AI Engineer position at Blue Cross & Blue Shield of Mississippi, A Mutual Insurance Company?
Join Blue Cross & Blue Shield of Mississippi as we transform patient care and operational efficiency through advance technology as an AI Engineer. By bridging the gap between clinical excellence and cutting-edge data science, we empower our healthcare providers with tools they need to deliver superior, life-saving outcomes.
We are seeking a forward-thinking Al Engineer to join our Information Technology department. In this role, you will design, develop, and deploy machine learning models and artificial intelligence solutions that directly impact patient care delivery, predictive diagnostics, and clinical operations.
This AI Engineer will work closely with cross-functional teams, including clinical leaders, data engineers, and administrative staff, to identify opportunities where Al can optimize workflows. Applying process improvement principles, you will help us eliminate system bottlenecks and ensure our technological infrastructure scales effectively
What You ll Do:
Facilitate and coordinate the development of AI solutions to meet the strategic needs of business areas across the organization.
Support the machine learning lifecycle from identifying data to maintenance in production environments.
Implement best practices for continuous integration, delivery, and training of the models.
Serve as a liaison between business users, data engineers, and developers to build, implement, and integrate AI solutions into services and products.
Create and maintain technical and user documentation for models.
Lead data analysis to support strategic decision making
Utilize data visualization and trend analysis to produce reports for leadership teams.
Job-Specific Requirements:
Bachelor s degree in quantitative fields such as Computer Science, AI, Machine Learning, Data Science or related technical field.
Three years or more of professional experience in machine learning or AI engineering role.
Two or more years of professional experience in data analysis.
Strong proficiency in Python and Core ML libraries such as TensorFlow, PyTorch, Scikit-learn, XGBoost.
Strong understanding of data structures and algorithms.
Experienced in any of cloud platform (AWS, Azure, or Google Cloud Platform) and their AI/ML services (Vertex AI, Azure ML, SageMaker).
Strong communications skills in relating complex subject matter to senior management.
Ability to manipulate large data sets and identify trends using BI tools.
Ability to lead projects and to coordinate efforts of developers of varying skill levels.
Proficiency using Microsoft Word, Excel, Visio and PowerPoint.
Problem-solving and analytical skill level to effectively diagnose unpredictable model behaviors, decompose complex data challenges and optimize system-level compromises.
Verbal and written communication skills that bridge the gap between technical data and business strategy by translating complex information into jargon-free explanations while utilizing data storytelling that communicates trends and why certain metrics matter.
Why Join Us
Purpose-Driven Work: Make a meaningful impact on the Health & Wellness of our Members.
Learning & Development: Build foundational knowledge in healthcare and insurance industry.
Career Growth: Clear pathways to grow your career where your skills flourish, including Corporate Intelligence, Data Management, Innovation and Development.
Healthy Culture: Work in an environment with a focus on your health which allows you to thrive. The walking track, onsite gym and caf are just a few of the highlights of the campus.
Compensation & Benefits: We offer a highly competitive compensation package that includes medical benefits, 401(k), ample paid time off and a schedule that supports true work/life balance
How to Apply and the Process:
Set up a Workday account and complete your application process.
Attach a copy of a resume and cover letter.
Check your email for updates.
Processes may include phone screen, testing, in-person interview (s), background and drug testing.
It s good to be Blue!