• 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.
• 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

• At least 10+ years of experience in a ML Engineer role or a related field.
• Demonstrated experience designing and shipping large-scale AI solutions with a focus on reliability and scalability.
• Strong architecture judgment, including the ability to anticipate future needs and make sound long-term design decisions.
• Experience working with early-stage customers to explore needs, shape requirements, and adapt solutions as new information emerges.
• Ability to work through ambiguity and create a practical technical direction and execution plan from incomplete requirements.
• Experience partnering across Product, Software Engineering, Data Science, clinical teams, and customer stakeholders.
• Excellent written and verbal communication skills, including the ability to explain complex architecture choices clearly.

Preferred Qualifications

• Experience with deep learning, natural language processing, or related AI methods.
• Experience working in healthcare or with medical data.

Pay Range: $183,000 - $257,000

Other compensation: Bonus Eligible

Location: Seattle Preferred

💻 Remote Work/Hybrid Work

✈️ Travel expected 1–3 times per year for company-sponsored events

🩺 Medical, dental, vision, life, and disability insurance

📈 401K retirement plan; flexible spending and health savings account

🏝️ 15 days of paid time off + additional front-loaded personal days

🏖️ 14 company-recognized holidays + paid volunteer days

👶 up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave

🌈 LGBTQ+ Health Services

🐶 Pet insurance

📣 Check out more of our benefits here: https://www.mcg.com/about/careers/benefits/

All roles at MCG are expected to engage in occasional travel to participate in team or company-sponsored events for the purposes of connection and collaboration.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Note on interviews : We may use AI tools to audio-record and transcribe interviews for note-taking purposes. These are used only by our hiring team and do not make decisions on their own. Let us know if you prefer an alternative.

All roles at MCG are expected to engage in occasional travel to participate in team or company-sponsored events for the purposes of connection and collaboration.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Note on interviews : We may use AI tools to audio-record and transcribe interviews for note-taking purposes. These are used only by our hiring team and do not make decisions on their own. Let us know if you prefer an alternative.