Premera
Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we’re able to better serve our customers. It’s this commitment that has earned us recognition as one of the best companies to work for.As the **AI Engineering Manager**, you will develop and lead a team of AI Engineers, Software Engineers, Machine Learning and Data Scientists dedicated to revolutionizing healthcare through cutting-edge
AI/ML solutions and insights. This management role focuses on hands-on ideation, development, deployment, and monitoring of AI/ML models and insights.* Bachelor’s Degree in Computer Science, Statistics, Mathematics, or a related quantitative field; or 5+ years equivalent professional experience.* 2+ years of experience leading highly analytical and scientific teams, guiding them through data science or machine learning.* 5+ years of hands-on experience developing and validating AI/ML solutions in industries with a track record of effectively transitioning models from research to pilot or POC.* 5+ years of experience conducting quantitative analytics.* Advanced degree (Masters/PhD) in a quantitative, computational, or scientific field, with demonstrated expertise in AI/ML development methods.* 2+ years managing cross-functional research collaborations or academic/industry partnerships with a strong focus on innovative AI/ML development.* 5+ years expertise with core data science libraries (NumPy, Pandas, Matplotlib and scikit-learn) and familiarity with advanced model interpretability libraries (e.g., SHAP, LIME) and statistical tools (e.g., Statsmodels, PyMC3).* Experience with NLP libraries (e.g., Hugging Face Transformers, SpaCy) or specialized packages (e.g., XGBoost, LightGBM).* 5+ years experience productionizing and monitoring AI models and solutions with MLOps frameworks (e.g., MLflow, Kubeflow) for experiment tracking, model packaging, and versioning. Experience applying drift detection and continuous evaluation strategies to maintain the scientific and business relevance of AI/ML solutions.* 5+ years working within Agile-like test and learning environments, using iterative or sprint-based approaches to develop AI/ML proofs of concept and production-ready deliverables.* 5+ years of healthcare and healthcare data experience resulting in the creation of solutions and systems for the healthcare industry.* 2+ years implementing responsible AI practices, including model interpretability, fairness audits, and ethical risk assessments.* Experience in developing and experimenting with deep learning architectures (CNNs, transformers, LSTMs, etc.) with frameworks such as TensorFlow, PyTorch, and Keras.* Proven experience at building and implementing processes, controls, and methods to support the debugging of ML/AI models and enhancing predictive performance.* Proven experience working with ML lifecycles in experimentation contexts, including hypothesis driven development practices, rapid prototyping, and iterative model refinement.* Experience applying product development lifecycle methodologies to data centric products, aligning roadmaps with market or stakeholder needs and iterating on features through user feedback and data insights.* Prior exposure to software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures.* Proficient in SQL for data exploration and feature engineering, with an ability to handle structured and unstructured data in various research contexts. Comfort working with evolving data formats and tools, leveraging data management best practices to support experimentation and prototyping.* Proven experience with a variety of statistical analyses (e.g., hypothesis testing, experimental design, regression analysis, clustering, time series analysis, anomaly detection, and sequence analysis) to data-driven decision making.* In-depth experience developing supervised predictive models (e.g., logistic regression, random forests, gradient boosting) and applying unsupervised learning techniques (e.g., clustering, dimensionality reduction).* In depth knowledge of modern deep learning models, algorithms, and architectures (self/cross attention, encoders and decoders, residual connections, normalizing layers, contrastive losses and joint embeddings, multi-task learning, transfer learning, state space models).* Hands-on expertise with cutting-edge generative AI techniques, including prompt engineering, various reasoning strategies, agentic frameworks, and function-calling approaches. Experience researching and prototyping innovative retrieval-augmented generation (RAG) patterns (e.g., prompt rewriting, routing, multi-modal fusion, hierarchical navigable small world indices, reciprocal rank fusion).* Demonstrated expertise of prompt engineering techniques for generative AI including role/system prompts, prompt rewrites, and context injection to innovate in research and experimentation. Proven track record in designing and leading large-scale prompt engineering projects, optimizing prompt crafting for accuracy, interpretability, and creativity.* Excellent communication, collaboration, mentorship, and team leadership skills.* This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body.* This role requires the ability to use a keyboard and to communicate clearly and understandably in person and over the telephone.* Medical, vision, and dental coverage with low employee premiums.* Voluntary benefit offerings, including pet insurance for paw parents.* Life and disability insurance.* Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service.* Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few.* Generous paid time off to reenergize.* Employee recognition program to celebrate anniversaries, team accomplishments, and more.At Premera, we make healthcare work better. By focusing on improving our customers’ experience purposefully and serving their needs passionately, we make the process easier, less costly, and more positive. Through empathy and advocacy, we change lives.
As the leading health plan in the Pacific Northwest, we provide comprehensive health benefits and services to more than 2 million customers, from individuals to Fortune 100 companies. Our services include innovative programs focused on health management, wellness, prevention, and patient safety. We deliver these programs through health, life, vision, dental, disability, and other related products and services.
Premera Blue Cross is headquartered in Mountlake Terrace, WA, with operations in Spokane and Anchorage. The company has operated in Washington since 1933 and in Alaska since 1952. With more than 80 years of experience in the region, we deliver innovation, choice, and expertise. #J-18808-Ljbffr
AI/ML solutions and insights. This management role focuses on hands-on ideation, development, deployment, and monitoring of AI/ML models and insights.* Bachelor’s Degree in Computer Science, Statistics, Mathematics, or a related quantitative field; or 5+ years equivalent professional experience.* 2+ years of experience leading highly analytical and scientific teams, guiding them through data science or machine learning.* 5+ years of hands-on experience developing and validating AI/ML solutions in industries with a track record of effectively transitioning models from research to pilot or POC.* 5+ years of experience conducting quantitative analytics.* Advanced degree (Masters/PhD) in a quantitative, computational, or scientific field, with demonstrated expertise in AI/ML development methods.* 2+ years managing cross-functional research collaborations or academic/industry partnerships with a strong focus on innovative AI/ML development.* 5+ years expertise with core data science libraries (NumPy, Pandas, Matplotlib and scikit-learn) and familiarity with advanced model interpretability libraries (e.g., SHAP, LIME) and statistical tools (e.g., Statsmodels, PyMC3).* Experience with NLP libraries (e.g., Hugging Face Transformers, SpaCy) or specialized packages (e.g., XGBoost, LightGBM).* 5+ years experience productionizing and monitoring AI models and solutions with MLOps frameworks (e.g., MLflow, Kubeflow) for experiment tracking, model packaging, and versioning. Experience applying drift detection and continuous evaluation strategies to maintain the scientific and business relevance of AI/ML solutions.* 5+ years working within Agile-like test and learning environments, using iterative or sprint-based approaches to develop AI/ML proofs of concept and production-ready deliverables.* 5+ years of healthcare and healthcare data experience resulting in the creation of solutions and systems for the healthcare industry.* 2+ years implementing responsible AI practices, including model interpretability, fairness audits, and ethical risk assessments.* Experience in developing and experimenting with deep learning architectures (CNNs, transformers, LSTMs, etc.) with frameworks such as TensorFlow, PyTorch, and Keras.* Proven experience at building and implementing processes, controls, and methods to support the debugging of ML/AI models and enhancing predictive performance.* Proven experience working with ML lifecycles in experimentation contexts, including hypothesis driven development practices, rapid prototyping, and iterative model refinement.* Experience applying product development lifecycle methodologies to data centric products, aligning roadmaps with market or stakeholder needs and iterating on features through user feedback and data insights.* Prior exposure to software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures.* Proficient in SQL for data exploration and feature engineering, with an ability to handle structured and unstructured data in various research contexts. Comfort working with evolving data formats and tools, leveraging data management best practices to support experimentation and prototyping.* Proven experience with a variety of statistical analyses (e.g., hypothesis testing, experimental design, regression analysis, clustering, time series analysis, anomaly detection, and sequence analysis) to data-driven decision making.* In-depth experience developing supervised predictive models (e.g., logistic regression, random forests, gradient boosting) and applying unsupervised learning techniques (e.g., clustering, dimensionality reduction).* In depth knowledge of modern deep learning models, algorithms, and architectures (self/cross attention, encoders and decoders, residual connections, normalizing layers, contrastive losses and joint embeddings, multi-task learning, transfer learning, state space models).* Hands-on expertise with cutting-edge generative AI techniques, including prompt engineering, various reasoning strategies, agentic frameworks, and function-calling approaches. Experience researching and prototyping innovative retrieval-augmented generation (RAG) patterns (e.g., prompt rewriting, routing, multi-modal fusion, hierarchical navigable small world indices, reciprocal rank fusion).* Demonstrated expertise of prompt engineering techniques for generative AI including role/system prompts, prompt rewrites, and context injection to innovate in research and experimentation. Proven track record in designing and leading large-scale prompt engineering projects, optimizing prompt crafting for accuracy, interpretability, and creativity.* Excellent communication, collaboration, mentorship, and team leadership skills.* This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body.* This role requires the ability to use a keyboard and to communicate clearly and understandably in person and over the telephone.* Medical, vision, and dental coverage with low employee premiums.* Voluntary benefit offerings, including pet insurance for paw parents.* Life and disability insurance.* Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service.* Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few.* Generous paid time off to reenergize.* Employee recognition program to celebrate anniversaries, team accomplishments, and more.At Premera, we make healthcare work better. By focusing on improving our customers’ experience purposefully and serving their needs passionately, we make the process easier, less costly, and more positive. Through empathy and advocacy, we change lives.
As the leading health plan in the Pacific Northwest, we provide comprehensive health benefits and services to more than 2 million customers, from individuals to Fortune 100 companies. Our services include innovative programs focused on health management, wellness, prevention, and patient safety. We deliver these programs through health, life, vision, dental, disability, and other related products and services.
Premera Blue Cross is headquartered in Mountlake Terrace, WA, with operations in Spokane and Anchorage. The company has operated in Washington since 1933 and in Alaska since 1952. With more than 80 years of experience in the region, we deliver innovation, choice, and expertise. #J-18808-Ljbffr