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As a Solution Architect/AI Engineer V, you'll embody thought leadership, make commitments, and lead staff, executives, and external stakeholders to solve complex business issues and systems. Operating independently with minimal direction, you'll navigate AI/ML solutions from concept to full production. Your visionary approach will drive ideation and prototyping of new AI products, utilizing sophisticated tools and technologies. Leading the enterprise in developing and deploying ML algorithms, you'll ensure a robust AI infrastructure, fostering continuous learning and innovation across cross-functional teams, propelling the organization to new heights in the AI/ML domain.
This is a hybrid role on our Mountlake Terrace campus.
What you’ll do:
Design and ensure the development of comprehensive systems and frameworks for AI applications and products.
Pitch concepts to leaders on all levels of the organization as well as externally, and then lead construction of prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources.
Lead the design and implementation of complex multi-cloud architectures that power sophisticated AI systems.
Create the underlying data pipeline architectures feeding, logging, and training complex AI systems.
Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications.
Design the oversight plans and processes for managing deployed models and AI systems.
Foster within the team principled, agile-like development practices.
Develop team-wide documentation practices that will ensure adherence to corporate policies and expectations. Apply those standards to ensure thorough and maintained documentation for all work products.
Develop and ensure peer review standards and procedures for all work within the team.
Ensure AI engineers follow AI/ML and industry best practices and methodologies.
Keep abreast of new tools and concepts through reading, documentation, or literature and actively practice skills development.
Advise senior leadership and executives on matters such as enterprise AI strategies, AI related technology strategies and roadmaps, AI related infrastructure strategies, and roadmaps.
Make AI solution commitments on behalf of Premera to external stakeholders that realize business value and ensure AI governance adherence, AI best practices, and data quality.
Provide thought leadership internally. Contribute externally to the AI community or the healthcare community at large.
Support or guide technical direction of project initiatives, collaborating with the rest of the design team and stakeholders ensuring that development milestones and deadlines are met. Provide feedback and advice on peer designs in an open and collaborative environment, mentor other engineering staff, and act as technical and business leader sharing knowledge and expertise with others inside team as well as with other stakeholders. Proactively contribute to knowledge sharing across Premera developer community.
Influence change and evolution in IT standards, practices, and processes, and drive application of engineering best practices for your team.
Stay current in industry trends and contribute to expanding the knowledge and skills of peers and teammates while researching and gaining understanding of innovative technology solutions and identifying their application to the organization’s business. Actively mentor individuals and teams and participate in internal and external opportunities to increase knowledge on advanced technical issues; help managers guide career growth of their team members; research and benchmark our technology against competing systems in the industry.
What you’ll bring:
Minimum Qualifications
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/Ph.D. or AI Engineering certifications.
Preferred Qualifications
At least 8 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 5 years with container orchestration in a production environment.
Knowledge of and experience in implementing ethical AI practices, with at least 5 years spent working on projects that require explainable AI, fairness, and bias mitigation.
At least 8 years of experience with demonstrated mastery over a wide range of AI technologies. A proven thought leader with published research and artifacts that advance the field of AI. Possess a proven track record of leading large-scale AI projects.
Minimum of 5 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems.
Minimum of 5 years demonstrating excellent communication skills through the ability to articulate complex AI solutions to non-technical stakeholders, coupled with a history of collaborative work and mentorship in Agile-like environments.
Knowledge, Skills, and Abilities
Expertise in developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs).
Mastery over a wide range of prompt engineering techniques, tools, and libraries to innovate in the field of prompt engineering to solve complex problems. Possess a proven track record of leading large-scale prompt engineering projects, optimizing prompt engineering pipelines.
Mastery at debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques.
Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring.
Knowledgeable about software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures.
Excellent software engineering skills as well as mastery building secure, stable software systems at scale.
Proven experience developing and optimizing ML solutions using languages like Python and libraries such as NumPy, Pandas, Matplotlib and scikit-learn.
Familiarity working with traditional ML lifecycles.
Solid knowledge of ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations.
Excellent communication, collaboration, mentorship, and team leadership skills.
Skilled at leading Agile-like teams and environments.
Ability to articulate the technical details and tradeoffs of AI solutions to executives and other non-technical stakeholders in a clear, concise, and compelling manner.
What we offerMedical, vision and dental coverageLife and disability insuranceRetirement programs (401K employer match and pension plan)Wellness incentives, onsite services, a discount program and moreTuition assistance for undergraduate and graduate degreesGenerous Paid Time Off to reenergizeFree parkingEqual employment opportunity/affirmative action:Premera is an equal opportunity/affirmative action employer. Premera seeks to attract and retain the most qualified individuals without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, gender or gender identity, sexual orientation, genetic information or any other protected characteristic under applicable law.
If you need an accommodation to apply online for positions at Premera, please contact Premera Human Resources via email at careers@premera.com or via phone at 425-918-4785.
Premera is hiring in the following states, with some limitations based on role or city: 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.
The pay for this role will vary based on a range of factors including, but not limited to, a candidate’s geographic location, market conditions, and specific skills and experience.
National Salary Range:
$150,200.00 - $270,400.00National Plus Salary Range:
$171,200.00 - $308,200.00*National Plus salary range is used in higher cost of labor markets including Western Washington and Alaska.