Principal Machine Learning Architect

🏢 Mcghealth · 📍 Seattle, Washington 💰 $183,000 - $257,000 / yr

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Position Summary & Responsibilities

At MCG, we lead the healthcare community to deliver patient-focused care. We have a mission-driven team of talented physicians and technical experts developing our evidence-based content and innovating our products to accelerate improvements in healthcare. If you are driven to enhance the US healthcare system, MCG is eager to have you join our team. We cultivate a work environment that nurtures personal and professional growth, and this is a thrilling time to become a part of our organization. With dynamic roles that offer meaningful impact, you'll be able to fully realize your potential. Plus, you'll enjoy world-class benefits and the security, stability, and resources of our parent company, Hearst, with over 100 years of experience.

MCG develops evidence-based guidelines that help patients get the right care in a variety of healthcare settings. The data science team at MCG combines AI with expert knowledge from our editors and guidelines to increase the efficiency and accuracy of our users’ documentation workflows. We have years of experience applying NLP to the clinical domain and are expanding the boundary of what can be done with agentic workflows in a reliable, explainable way.

As a Principal ML Architect in MCG’s Data Science team, you will shape how our agent-based products move from early concepts to scalable solutions. You will partner with Product Managers, Software Engineers, Data Scientists, clinical partners, and customers to turn emerging needs into practical architectures, prototypes, and clear paths to delivery. This role combines technical direction with hands-on discovery and customer engagement, helping demonstrate the value of MCG’s agentic offerings and making adoption straightforward.

You Will

Lead technical discovery with Product Managers and customers, translating emerging needs and workflows into end-to-end architectures for AI features.
Set architectural direction for agent-based solutions, balancing near-term customer needs with scalable designs that can support future capabilities.
Build prototypes and proof-of-concept experiences to test feasibility, demonstrate value, and gather feedback from clinical personnel and customers.
Work directly with early-stage customers to understand their environments, identify adoption barriers, and shape requirements as solutions evolve.
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🎯 Candidate Preparation Guide For Mcghealth Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Clinical accuracy, evidence-based decision-making rigor, and the ability to bridge complex healthcare data into actionable software solutions.

📋 Preparation Priorities (Key Areas to Clarify):

1. Handwaving compliance, HIPAA, or rigorous clinical validation processes
2. Proposing moves that increase administrative burden on clinical staff
3. Lack of structured methodology when evaluating medical evidence

✨ Recommended Role Alignment Hook:

I build scalable clinical decision support tools that reduce administrative friction while strictly adhering to evidence-based medical guidelines.

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