Drimva

Artera

Senior Staff AI Builder

$207K–$300K

Seattle, Washington +2 · On-site · Senior Staff · Full-time · Posted May 29, 2026

Location
Seattle, Washington
Santa Barbara, California
Kansas City, Missouri
Experience
Typically 10+ years of professional engineering experience, or equivalent demonstrated output.
Visa sponsorship
Applicants must be authorized to work full-time in the United States and provide proof of long-term authorization. Visa sponsorship and visa transfers are unavailable.

About the job

Leads cross-squad AI engineering for Artera’s agentic healthcare platform, turning AI strategy into reliable production systems and shared capabilities.

What you'll do

  • Own a multi-squad technical area and lead improvements to quality, reliability, velocity, or cost.
  • Establish goals, standards, and shared capabilities adopted across engineering squads.
  • Represent engineering in customer and vendor discussions, mentor builders, and set ethical standards for AI and customer data.

What they ask for

  • Industry-leading AI-native fluency, including demonstrating and teaching practices that produce the output of a traditional team.
  • Typically 10+ years of professional engineering experience, or equivalent demonstrated output, with multiple examples of systems architected and run at scale.
  • Recognized expertise in a domain mapped to Artera’s critical capabilities, such as agentic platforms, EHR integrations, reliability, AI evaluation, voice and messaging, or security engineering.
  • Track record leading multi-team technical initiatives that materially changed business outcomes.

Nice to have

  • Prior staff or senior staff-level experience at a healthcare, AI-native, or agentic platform company.
  • Experience designing systems for multi-tenant, HIPAA/HITRUST/FedRAMP-constrained environments at scale.

Pay

USD 207,000–300,000 per-year-salary (base salary)

Tools

AWS, EHR, HIPAA, HITRUST, FedRAMP

AI focus

Defines and operationalizes AI-native practices, agentic platform capabilities, AI evaluation, reliability, and ethical standards for AI systems and patient communications.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)