Principal Machine Learning Architect
Mcghealth · Seattle, Washington
About this role
**Principal Machine Learning Architect (MCG) — Seattle (Preferred)** MCG leads the healthcare community to deliver patient-focused care. As part of the Data Science team, you’ll help shape how our agent-based products move from early concepts to scalable solutions—partnering with Product, Engineering, Data Science, clinical teams, and customers to turn emerging needs into practical architectures, prototypes, and clear paths to delivery. **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 for 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 environments, identify adoption barriers, and shape requirements as solutions evolve. - Partner with Software Engineers and Data Scientists to move solutions from concept and prototype into reliable, scalable products. - Make architectural tradeoffs visible, identify risks early, and turn ambiguity into clear technical recommendations and execution plans. - Communicate architecture decisions, constraints, and opportunities clearly across technical, clinical, product, and customer audiences. **Our Tech Stack** - Python, Go, C# - Azure, AWS **What We’re Looking For** - 10+ years of experience in an ML Engineer role or related field. - Demonstrated experience designing and shipping large-scale AI solutions with a focus on reliability and scalability. - Strong architecture judgment and the ability to anticipate future needs. - Experience working with early-stage customers to explore needs, shape requirements, and adapt solutions. - Ability to work through ambiguity and create practical technical direction from incomplete requirements. - Experience partnering across Product, Software Engineering, Data Science, clinical teams, and customer stakeholders. - Excellent written and verbal communication skills. **Preferred Qualifications** - Experience with deep learning, natural language processing, or related AI methods. - Experience working in healthcare or with medical data. **Compensation & Benefits** - **Pay Range:** $183,000 - $257,000 - **Other Compensation:** Bonus Eligible - **Location:** Seattle Preferred - **Perks & Benefits:** Remote/Hybrid work, travel expected 1–3x/year for company-sponsored events, medical/dental/vision/life/disability insurance, 401K, flexible spending/HSAs, paid time off and holidays, parental leave, LGBTQ+ health services, pet insurance. **Notes** - Occasional travel may be required for team/company-sponsored events. - Interview note-taking may use AI tools for audio recording/transcription (used only by the hiring team). Let us know if you prefer an alternative. **Equal Opportunity** MCG is an Equal Employment Opportunity (EEO) employer and welcomes qualified applicants without regard to protected characteristics. Accommodations are available—please let us know if you require support.
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