Hear from our CEO, Guillaume de Zwirek, about why we are standing at the edge of the biggest technological shift in healthcare’s history!

ABOUT THE OPPORTUNITY

Artera is seeking an Agentic AI Solutions Engineer who can bring deep technical insight to the discovery process, guide solution optimization, and craft a technical vision that wins over complex healthcare organizations. You won’t just be demoing features; you’ll be architecting agentic AI workflows to prove how Artera can solve the industry’s most persistent communication gaps.

In this role, you’ll serve as a key technical advisor—collaborating closely with Sales, Customer Experience, and Product teams to conduct deep technical discovery, design highly scalable enterprise architectures, and drive pre-sales deal strategy. You’ll help shape future-state customer workflows, dismantle complex integration challenges, and accelerate platform adoption by translating cutting-edge AI capabilities into real operational value for healthcare systems.

• Agentic Solutions Architecture: Architect and propose optimized solutions for healthcare workflows using Artera’s AI suite, explaining how AI can safely reason, call tools, and interact with patients via voice and text.

  • Technical Discovery & Requirements Analysis: Conduct technical discovery sessions with prospects to evaluate system architecture, workflow needs, and data integration requirements.

  • RFP/RFI & Security Review Leadership: Author definitive, technical responses to RFPs, RFIs, and security questionnaires, demonstrating how Artera satisfies both functional and compliance requirements.

• Strategic Product Demonstrations: Lead compelling, value-driven demonstrations of the Artera platform for prospective clients. Go beyond feature-clicking to tell a cohesive story of how our core software and AI capabilities seamlessly orchestrate patient communication, collapse operational overhead, and improve patient access metrics.

  • Technical Architecture & Deal Strategy: Serve as the technical authority during the pre-sales cycle, defining the ideal future-state architecture and ensuring seamless technical alignment between prospect ecosystems and Artera’s platform.

  • Technical Continuity & Deployment Handoff: Act as the technical guide during the transition from sales to service rollout. Provide consultative, high-level oversight to Artera’s post-sales delivery teams to guarantee the architectural integrity of the scoped AI workflows is preserved during implementation.

• Experience: 3+ years of relevant experience in solutions engineering or technical consulting.

• Patient Access Domain Knowledge: Strong familiarity with healthcare operations. You understand the operational friction points surrounding centralized scheduling, patient intake/registration, and referral management, allowing you to speak the same language as healthcare operations leaders.

• Technical Concept Comprehension: Translate complex AI/ML concepts (e.g., context windows, Retrieval-Augmented Generation, Model Context Protocol) into highly clear, value-driven information for clinical, operational, and executive C-suite stakeholders.

  • AI & LLM Literacy: Firm grasp of Agentic AI paradigms, including token limits, prompt engineering, Claude CLI, Claude, Retrieval-Augmented Generation (RAG) data pipelines, and the Model Context Protocol (MCP) framework.

  • System Interoperability Acumen: Deep understanding of how health systems integrate with each other. Comfortable reading API documentation, map complex data fields, evaluate payloads/webhooks, and can pinpoint data dependencies during early-stage discovery.

At Artera, we believe the best work happens when people are truly connected. Our AI services model has shown what’s possible when small, focused teams move fast together — the speed of collaboration, pace of career growth, and quality of what we build can become stronger when teams share space. As we grow, we want every new teammate to feel part of an in-person community from day one.

That’s why we are focusing our U.S. hiring in three cities, where we are investing in offices and building strong local teams:

• Santa Barbara, CA (Our HQ)
• Seattle, WA
• Kansas City, KS/MO

Unless a role’s posting states otherwise, new U.S. roles are based in one of these three cities, and candidates should reside in (or be willing to relocate to) one of these areas. Each location follows an in-person schedule that reflects how our local teams work best; we’ll walk you through what to expect for your specific role and city during the interview process.

Focusing on offices and hiring in a few locations, rather than spreading thin across many cities, lets us invest deeply in each one so every team has real community, mentorship, and momentum in person.