AI Engineer IV

AI Engineer IV will lead the development of AI and ML solutions at Premera Blue Cross, working remotely from the United States. This role spans the lifecycle from initial concept and prototyping through production deployment, monitoring, and continuous improvement, with an emphasis on documentation, peer review, and mentoring.

Responsibilities

• Recommend and develop comprehensive systems and frameworks for AI applications and products.
• Present AI/ML concepts to team leadership, then lead prototype and minimum viable product construction to validate approaches before committing significant resources.
• Support the design and implementation of cloud architecture for large, multi-faceted AI systems.
• Contribute to the scaffolding and design of robust data pipelines that support large and complex AI systems.
• Develop specifications for low latency APIs and services used to deploy AI models and integrate them into applications.
• Write code for monitoring models and AI systems to help ensure consistent and reliable performance.
• Participate in a team that uses principled, agile-like development practices.
• Create and maintain thorough documentation aligned with team procedures, corporate policies, and expectations.
• Complete peer review for assigned work and perform peer reviews for others as requested.
• Guide AI engineers on AI/ML and industry best practices and methodologies.
• Stay current on new tools and concepts through documentation, literature, and skills development.
• Advise leadership on enterprise AI strategies, AI-related technology strategies and roadmaps, and AI-related infrastructure strategies and roadmaps.
• Collaborate with external stakeholders to conceptualize AI solutions that deliver business value while adhering to AI governance, AI best practices, and data quality.
• Provide thought leadership to the Premera AI community.

Required Qualifications

• Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT or analytics position.
• Minimum 5 years of industry experience developing, deploying, and maintaining AI or ML systems. Up to two years of experience may be substituted with an AI-centered Master's or PhD, or AI Engineering certifications.

Preferred Qualifications

• At least 6 years of experience developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks, with acceptance of prior experience with older libraries such as Theano or Caffe. May supplement with graduate-level education or research experience.
• Experience with design patterns and microservices architecture, including at least 3 years with container orchestration in a production environment.
• Knowledge and experience implementing ethical AI practices, including at least 3 years working on projects requiring explainable AI, fairness, and bias mitigation.
• At least 3 years implementing advanced techniques such as Retrieval Augmented Generation, Tree of Thoughts, or Multimodal CoT in prompt engineering projects, including leading prompt engineering teams, code reviews, and setting prompt engineering best practices.
• Minimum of 4 years producing AI models in production, including scalable data pipelines and robust monitoring systems.
• At least 5 years working within Agile-like teams and environments.

Technology Stack

Python, NumPy, Pandas, Matplotlib, scikit-learn, TensorFlow, PyTorch, MLX, JAX, Streamlit, Shiny, Theano, Caffe, Docker, Retrieval Augmented Generation, Tree of Thoughts, Multimodal CoT, CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, Neural Ordinary Differential Equations (NODEs).

Location and Work Arrangement

United States (remote). This is a remote/telecommuter position working from home.

Compensation

• Salary range: USD 131,900 - 270,500 per year
• National salary range: $131,900.00 - $237,400.00
• National plus salary range: $150,300.00 - $270,500.00

Benefits

• 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 a pension plan vested after 3 years of service.
• Wellness incentives with mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs.
• Generous paid time off to reenergize.
• Tuition assistance for both undergraduate and graduate degrees.
• Employee recognition program to celebrate anniversaries, team accomplishments, and more.

Workforce Classification

• Telecommuter

Physical Requirements

• Primarily a sedentary role requiring the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body.
• Ability to keyboard and communicate clearly and understandably in person and over the telephone.

Premera Total Rewards (Additional Information)

• For hybrid employees, an on-campus model with flexibility to create a personal routine and access to on-site resources, networking opportunities, and team engagement.
• Commuter perks, free convenient on-site parking, and subsidized on-campus cafes.
• On-site activities such as health and wellness events, coffee connects, and disaster preparedness fairs.
• A complementary fitness & well-being center with in-person and virtual workouts and nutritional counseling.
• On-campus engagement such as shuffleboard or ping pong.

Equal Employment Opportunity / Affirmative Action

Premera is an equal opportunity/affirmative action employer and seeks to attract and retain individuals without regard to protected characteristics under applicable law.

States Hiring (with Some Limitations)

Alaska, Arizona, Arkansas, California, Colorado, Florida, Georgia, Idaho, Iowa, Kansas, Kentucky, Maine, Michigan, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Mexico, North Carolina, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, Wisconsin.

Additional Workforce Notes

Hybrid employees may have access to on-campus options as described in the Premera Total Rewards section. Remote employees work from home.