Staff AI/ML Architect Data Products & Generative AI (Remote)

Ladders; United States; Remote; USD 164,000 - 274,000; Full time

Benefits offered by this job

Health technology access

Comprehensive benefits

Global growth opportunities

Tuition reimbursement

Community of users

Job summary

Ladders is seeking a Staff AI/ML Engineer in the Healthcare space to lead the architecture and delivery of data products and AI capabilities. This remote, US-based position influences technical direction, builds production-ready AI solutions, and ensures reliability, safety, and regulatory alignment across the organization.

The role requires collaboration with cross-functional teams to balance innovation, performance, cost, and impact.

Qualifications

• Bachelor's degree in technical discipline; Master's/PhD preferred.
• 8-12 years of related experience or 5-7 years with a Master's degree.
• Strong Python and AI/ML library experience; production-scale delivery.
• Cloud-based AI/ML solution design.

Responsibilities

• Set technical direction and architect end-to-end AI/ML capabilities across teams.
• Build and optimize AI/ML features using predictive models and generative AI.
• Define evaluation and safety standards, establishing metrics and monitoring.
• Shape technical strategy balancing performance, cost, and regulatory requirements.
• Improve training, serving, and CI/CD pipelines for reliable AI/ML systems.
• Partner with cross-functional stakeholders to align technical direction with company strategy.
• Mentor engineers and communicate complex methods to diverse audiences.

Skills

Python

AI/ML libraries

Production-scale

Software engineering

Education

Bachelor's degree in technical discipline

Master's/PhD preferred

Tools

CI/CD pipelines

Cloud platforms

Job description

Ladders is seeking a Staff AI/ML Engineer in the Healthcare space to lead the architecture and delivery of data products and AI capabilities. This remote, US-based position influences technical direction, builds production-ready AI solutions, and ensures reliability, safety, and regulatory alignment across the organization.

The role requires collaboration with cross-functional teams to balance innovation, performance, cost, and impact.