AI Engineer IV
Role details
Job location
Tech stack
Job description
As an AI Engineer IV, you'll provide technical leadership to a team building AI/ML solutions that tackle complex business problems-from early concept and experimentation through secure, scalable production deployment. You'll help shape AI strategy, guide solution design, and lead the delivery of high-impact capabilities across data pipelines, model development, and AI-enabled services.
This role blends deep hands-on engineering with leadership: you'll drive prototypes into production, influence architecture decisions for multi-faceted AI systems, mentor other engineers, and elevate best practices for responsible AI in a highly regulated environment.
This is a hybrid role, located on our campus in Mountlake Terrace, Washington.
What you'll do:
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Architect and deliver AI systems end-to-end. Recommend and develop comprehensive systems and frameworks for AI applications and products, balancing speed to value with reliability and maintainability.
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Lead ideation and rapid validation. Pitch concepts to leadership, then lead the design and build of prototypes and minimum viable products to validate AI/ML solutions before scaling investment.
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Shape cloud architecture for complex AI platforms. Contribute to designing and implementing cloud architecture for large, multi-faceted AI systems (compute, storage, security, deployment, monitoring).
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Enable robust data foundations. Assist in the design and scaffolding of scalable data pipelines that power advanced AI systems and enable model lifecycle improvements.
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Operationalize AI via services and APIs. Define specifications for low-latency APIs/services that deploy models and integrate AI into enterprise applications.
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Build monitoring and reliability into production. Develop code and approaches for monitoring models and AI systems to ensure consistent performance, accuracy, and reliability in production.
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Driving engineering excellence. Participate in principled, agile-like development practices; ensure peer review for all assigned work and conduct reviews for others as needed.
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Document with production discipline. Create and maintain thorough documentation aligned with team procedures, SDLC expectations, and corporate policies.
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Mentor and raise the bar. Guide AI engineers on AI/ML best practices and help grow team capability through feedback, coaching, and knowledge sharing.
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Influence strategy and roadmaps. Advise team and division leadership on enterprise AI strategy, AI technology roadmaps, and AI infrastructure direction.
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Partner with stakeholders and uphold governance. Collaborate with external stakeholders to conceptualize AI solutions that deliver business value while adhering to AI governance, best practices, and data quality/security standards.
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Provide thought leadership. Contribute to the broader AI community through best-practice sharing, patterns, reusable frameworks, and technical leadership.
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Perform other duties as assigned.
Requirements
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Bachelor's degree in computer science, Information Systems, Statistics, Mathematics, or a related field, or equivalent experience .
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At a minimum, combined expertise of 8 + years of relevant experience in software development, including knowledge of the software development lifecycle and proficiency in multiple programming languages, and industry experience developing, deploying, and maintaining AI/ML systems.
Preferred Qualifications
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Experience building AI solutions using cloud platforms and services (e.g., Azure AI services or similar) in a highly regulated environment; healthcare experience preferred.
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Experience successfully productionizing AI models, including scalable pipelines and robust monitoring systems.
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Strong background developing deep learning models using modern frameworks (e.g., TensorFlow, PyTorch, MLX).
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Experience with software design patterns, microservices, distributed systems, and container orchestration.
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Knowledge of ethical AI practices (explainability, fairness, bias mitigation) and applying them in real solutions.
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Experience implementing advanced LLM solution patterns (e.g., retrieval-augmented generation and structured reasoning approaches) and setting team best practices through reviews and standards.
Knowledge, Skills, and Abilities
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Proven experience developing deep learning architectures (e.g., transformers, CNNs, GANs, LSTMs, GNNs, autoencoders, diffusion models, NODEs).
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Proven ability to debug and optimize AI systems, including performance analysis and tuning approaches.
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Strong software engineering skills and the ability to build secure, stable systems at scale.
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Expertise in AI system design and deployment patterns (pipelines, low-latency services, monitoring).
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Strong communication and stakeholder influence-able to explain technical tradeoffs clearly to non-technical audiences.
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Mentorship and leadership mindset with a commitment to knowledge sharing and raising team capability.
Premera total rewards
Benefits & conditions
Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including physical, financial, emotional, and community benefits, including:
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Medical, vision, and dental coverage with low employee premiums.
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Voluntary benefit offerings, including pet insurance for paw parents.
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Life and disability insurance.
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Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service.
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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.
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Generous paid time off to reenergize.
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Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees.
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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.
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Commuter perks make your trip to work less impactful on the environment and your wallet.
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Free convenient on-site parking.
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Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable.
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Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more.
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Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling.
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Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus.
Equal employment opportunity/affirmative action: