Note: The job is a remote job and is open to candidates in USA. Premera Blue Cross is committed to transforming healthcare and improving customers' lives. As an AI Engineer IV, you will lead the development of AI/ML solutions for complex business challenges, guiding the ideation and prototyping of new AI products while mentoring junior engineers.
Responsibilities
- Recommend and develop comprehensive systems and frameworks for AI applications and products
- Pitch concepts to team leadership and then lead construction of prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources
- Assist in designing and implementing the cloud architecture of large multi-faceted AI systems
- Assist in the design and scaffolding of robust data pipelines that drive large complex AI systems
- Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications
- Develop the code for monitoring models and AI systems that ensure consistent and reliable performance
- Actively participate in a team that exercises principled, agile-like development practices
- Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations
- Ensure peer review on all assigned work as well as conduct peer reviews over the work of others as requested
- Guide AI engineers on AI/ML and industry best practices and methodologies
- Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development
- Advise team and division leadership on matters such as enterprise AI strategies, AI related technology strategies and roadmaps, and AI related infrastructure strategies and roadmaps
- Meet and collaborate with external stakeholders to conceptualize AI solutions that realize business value while ensuring AI governance adherence, AI best practices, and data quality
- Provide thought leadership to the Premera AI community
Skills
- Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position
- Minimum of 5 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master's/PhD or AI Engineering certifications
- At least 6 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (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 of and experience in implementing ethical AI practices, with at least 3 years spent working on projects that require explainable AI, fairness, and bias mitigation
- At least 3 years of expertise in implementing advanced techniques like Retrieval Augmented Generation, Tree of Thoughts, or Multimodal CoT in prompt engineering projects. Experience in leading prompt engineering teams, conducting code reviews, and setting best practices for prompt engineering within the organization is also essential
- Minimum of 4 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems
- At least 5 years working within Agile-like teams and environments
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, 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.
- Tuition assistance for both undergraduate and graduate degrees.
- Employee recognition program to celebrate anniversaries, team accomplishments, and more.
- For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement.
- Commuter perks make your trip to work less impactful on the environment and your wallet.
- Free convenient on-site parking.
- Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable.
- Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more.
- Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling.
- Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus.
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