Principal AI Engineer
The Impact You Will Have
Blue Cross and Blue Shield of Minnesota is hiring a Principal AI Engineer. In this role, you will serve as a technical lead driving the development, deployment, and evolution of enterprise-grade AI and machine learning solutions. You will partner closely with data science, engineering, cloud, product, and business teams to deliver scalable, production-ready AI capabilities that solve complex business problems, streamline operations, and elevate customer and clinician experiences. This role requires deep hands-on engineering expertise, and the ability to guide the full lifecycle of AI solutions—from concept through operationalization.
Responsibilities
- Advanced Solution Development
- Build, deploy, and optimize LLM-based, multimodal, and predictive AI models.
- Develop intelligent automation to streamline workflows and reduce operational friction.
- Implement NLP, conversational AI, and real-time generative systems across modalities.
- AI System Integration & Full-Stack Engineering
- Oversee AI system integration with enterprise platforms, cloud services, APIs, and data pipelines.
- Architect and maintain production-grade ML infrastructure, including CI/CD and monitoring.
- Operationalize AI/ML models in cloud environments such as AWS, Azure, or GCP.
- Governance, Quality & Compliance
- Ensure AI solutions meet regulatory and internal governance requirements.
- Implement comprehensive testing frameworks across all system layers.
- Collaboration & Mentorship
- Partner with cross-functional teams to deliver robust, production-ready AI solutions.
- Mentor engineers in AI architecture, cloud engineering, and advanced model integration.
- Provide technical mentorship in prompt engineering, fine-tuning, and responsible AI practices.
Requirements
- 8+ years of professional experience in data engineering, machine learning engineering, software engineering, or related fields.
- 5+ years of experience deploying and maintaining ML/AI models in production at enterprise scale.
- Advanced proficiency in Python, Scala, or comparable languages.
- Expertise with cloud architectures (AWS, Azure, GCP), including ML-focused services (e.g., SageMaker, AzureML).
- Strong experience with orchestration and containerization tools such as Kubernetes, Docker, Airflow, etc.
- Deep understanding of machine learning algorithms, deep learning frameworks (PyTorch, TensorFlow), and NLP technologies.
- Demonstrated experience with generative AI, multimodal systems, LLM fine-tuning, and prompt engineering.
- Strong SQL and experience with cloud-native data ecosystems.
- Proven ability to architect, deploy, and monitor complex AI/ML solutions in production.
- Excellent communication, collaboration, and technical leadership skills.
- High school diploma (or equivalency) and legal authorization to work in the U.S.
Qualifications
- Advanced degree in Computer Science, AI, Data Science, Engineering, or a related field.
- Experience in healthcare, health services, or insurance.
- Expertise in RAG pipelines, vector databases, and enterprise knowledge systems.
- Experience with real-time streaming systems, edge AI, or high-performance model serving.
- Background in full-stack engineering incorporating AI-driven user experiences.
- Professional certifications in cloud architectures or ML/AI technologies.
Pay, Benefits & Schedule
Pay Range: $152,900.00 - $210,300.00 - $267,700.00 Annual
Compensation and Benefits:
- Medical, dental, and vision insurance
- Life insurance
- 401k
- Paid Time Off (PTO)
- Volunteer Paid Time Off (VPTO)
- And more
To discover more about what we have to offer, please review our benefits page.
EEO Statement
At Blue Cross and Blue Shield of Minnesota, we are committed to paving the way for everyone to achieve their healthiest life. Blue Cross of Minnesota is an Equal Opportunity Employer and maintains an Affirmative Action plan, as required by Minnesota law applicable to state contractors. All qualified applications will receive consideration for employment without regard to, and will not be discriminated against based on any legally protected characteristic.
Contact Information
To discover more about what we have to offer, please review our benefits page.
For questions about the application process, please contact: talent.acquisition@bluecrossmn.com.