Solution Architect​/AI Engineer IV

Overview

Workforce Classification: Hybrid

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Role: Solution Architect/AI Engineer IV

This position requires understanding of both software engineering principles and real-world experience with AI implementation. In this role, you will operate in an agile team environment across different capability groups providing guidance on technical priorities, creating prototypes, and driving innovative solutions from concept to production.
This is a hybrid role located on our campus in Mountlake Terrace, Washington.

• Recommend and develop comprehensive systems and frameworks for AI applications and products, powering solutions for Digital Web experiences, strengths in managing additions for chatbot interfaces and backend services that support them, optimized for cost in consumption of tokens.
• Lead construction of prototypes and minimum viable products to validate AI solutions before committing substantial resources, expect to iterate fast and deliver such prototypes autonomously.
• Assist in designing and implementing the cloud architecture of large multi-faceted 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.
• Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations.
• Drive design reviews that align with our solution design process and actively participate in presenting and critical review of own and others designs.
• Guide other Solution Architects with industry best practices and methodologies, apply a similar approach when working with delivery teams, and provide critical input.
• Keep abreast of new tools and concepts constantly proving hypothesis in an experimentation environment.
• Advise team leadership on matters such as AI strategies with a focus on AI related technology 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, data quality, reliability, and security.

Required Qualifications

• Bachelor’s Degree in Computer Science, Information Systems, Statistics, Mathematics, or related field, or equivalent experience.
• Minimum of 12 years of experience in software development and launching online customer products, with knowledge of the software development lifecycle and proficiency in multiple programming languages.
• At least 2 years of industry experience in developing, deploying, and maintaining AI systems.

Preferred Qualifications

• Experience working with cloud solutions in a highly regulated environment. Experience in the healthcare industry is preferred.
• Experience working within agile-like teams and environments, with exposure to API and service-based technologies.
• Experience in successfully product ionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems.
• Experience in using and creating automated test tools and a strong background in developing strategies for load testing AI experiences live in production.
• Knowledge of ethical AI practices include explainable AI, fairness, and bias mitigation.

• Expertise in implementing…