Senior Principal Agentic Technologist

ABOUT ARTERA Our Mission: Make healthcare #1 in customer service. What We Deliver: Artera is an agentic company strengthening how healthcare providers communicate and care for patients. As an agentic partner, we bring over a decade of healthcare experience to address urgent workflows from day one and build custom solutions as healthcare providers’ needs evolve. Trusted by 1,000+ specialties, FQHCs, health systems, and federal agencies, Artera strengthens and protects and enhances patient relationships across every interaction - from intake and scheduling to referral management, post-visit care, and more. Hear from our CEO, Guillaume de Zwirek, about why we are standing at the edge of the biggest technological shift in healthcare’s history! Our award-winning culture: Our award-winning culture: Since founding in 2015, Artera has consistently been recognized for its innovative technology, business growth, and named a top place to work. Examples of these accolades include: Inc. 5000 Fastest Growing Private Companies (2020, 2021, 2022, 2023, 2024); Deloitte Technology Fast 500 (2021, 2022, 2023, 2024, 2025); Built In Best Companies to Work For (2021, 2022, 2023, 2024, 2025, 2026). Artera has also been recognized by Forbes as one of “America’s Best Startup Employers,” Newsweek as one of the “World’s Best Digital Health Companies,” and named one of the top “44 Startups to Bet your Career on in 2024” by Business Insider. Applicants must be currently authorized and have the ability to provide proof of full-time, long-term authorization to work in the United States. We are unable to provide visa sponsorship or support visa transfers now or in the future. OUR APPROACH TO WORK LOCATION 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. WORKING AT ARTERA Company benefits - Full health benefits (medical, dental, and vision), flexible spending accounts, company paid life insurance, company paid short-term & long-term disability, company equity, voluntary benefits, 401(k) and more! Career development - Manager development resources, employee development funds Generous time off - Company holidays, Winter & Summer break, and flexible time off Employee Resource Groups (ERGs) - We believe that everyone should belong at their workplace. Our ERGs are available for identifying employees or allies to join. EQUAL EMPLOYMENT OPPORTUNITY (EEO) STATEMENT Artera is an Equal Opportunity Employer and is committed to fair and equitable hiring practices. All hiring decisions at Artera are based on strategic business needs, job requirements, and individual qualifications. All candidates are considered without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetics, protected veteran status, or any other protected status. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Artera is committed to providing employees with a work environment free of discrimination and harassment; Artera will not tolerate discrimination or harassment of any kind. Artera provides reasonable accommodations for applicants and employees in compliance with state and federal laws. If you need an accommodation, please reach out to [email protected]. DATA PRIVACY Artera values your privacy. By submitting your application, you consent to the processing of your personal information provided in conjunction with your application. For more information please refer to our Privacy Policy. SECURITY REQUIREMENTS All employees are responsible for protecting the confidentiality, integrity, and availability of the organization’s systems and data, including safeguarding Artera’s sensitive information such as, Personal identifiable Information (PII) and Protected Health Information (PHI). Those with specific security or privacy responsibilities must ensure compliance with organizational policies, regulatory requirements, and applicable standards and frameworks by implementing safeguards, monitoring for threats, reporting incidents, and addressing data handling risks or breaches. Key Responsibilities Agent Architecture & Design Define Artera's reference architecture for AI agents Establish design patterns for multi-agent orchestration, tool use, memory management, and human-in-the-loop workflows tailored to healthcare operations Own technical decisions on agent decomposition, communication patterns, and failure handling for mission-critical healthcare workflows Evaluate and integrate emerging agentic AI capabilities as they become available Drive continuous improvements to Artera’s operational excellence and security posture Scale-Out Enablement for Builder Teams Design and maintain the AI development infrastructure — including AI coding skills, structured memory, MCP server tooling, and cross-customer pattern libraries — that enables multiple teams to build customer-specific agent workflows independently and consistently Work backwards from customer outcomes: design and consume production evaluation systems that measure how agents actually perform for each customer, derive actionable insights from those evaluations, and feed improvements back into shared development infrastructure as codified best practices Codify proven agent development patterns (intent expression, evaluation-driven development, semantic data discovery) into reusable templates and golden paths that keep pace with industry prescriptive guidance Define the boundaries between shared platform capabilities (security, compliance, observability, evaluation frameworks) and team-owned customization layers (per-customer prompts, tools, orchestration) Establish knowledge-compounding mechanisms so that what one team discovers — or what production evaluation reveals — reaches every other team through structured repositories, automated pattern discovery, and contextual delivery at the moment of relevance Provide architectural mentorship and review that ensures teams build agents using intent-based design rather than procedural encoding, and that evaluation criteria are defined before agent construction begins Security — Shift-Left by Default Embed security into the earliest stages of the development lifecycle through automated threat modeling, policy-as-code, and secure-by-default infrastructure patterns Define guardrails for agent permissions, data access scoping, and least-privilege execution in multi-tenant healthcare environments Own the security architecture for agent-to-agent communication, secrets management, and PHI handling within agentic workflows Partner with security and compliance teams to ensure agent behaviors remain auditable and aligned with healthcare data protection requirements Observability & Operability Design observability architecture for agentic systems — tracing agent reasoning chains, monitoring tool invocations, and measuring outcome quality Define SLOs, error budgets, and operational runbooks for agent-powered workflows Establish patterns for graceful degradation, circuit breaking, and fallback behaviors in agent systems Design evaluation frameworks that measure agent effectiveness from the customer's perspective — not just system health, but whether patients achieved their intended outcomes (appointment scheduled, question answered, referral completed) Close the feedback loop between production evaluation insights and development practices, ensuring that patterns which improve customer outcomes are systematically propagated to all builder teams Ensure operational readiness criteria are met before any agent workflow reaches production DevOps & Engineering Excellence Raise the bar on CI/CD practices: define pipeline standards, deployment strategies, and infrastructure-as-code patterns for agent workloads Drive adoption of trunk-based development, automated testing (unit, integration, end-to-end agent evaluation), and continuous deployment Establish engineering quality standards including code review expectations, architecture decision records, and technical debt management Define and maintain AI-assisted development workflows — including structured project memory, tool-augmented sessions, and automated pattern delivery — that accelerate onboarding and reduce tribal knowledge dependencies Mentor engineers across the organization, conduct architecture reviews, and build a culture of operational ownership Technical Leadership & Strategy Serve as Artera's primary technical liaison with critical external vendors, maintaining alignment with their roadmap and prescriptive guidance Influence product strategy with a deep understanding of what agentic AI can deliver for healthcare operations Make high-judgment calls on build-vs-buy, technology selection, and architectural trade-offs Represent Artera's technical vision externally through publications, conference talks, and community engagement Basic Qualifications 12+ years of software engineering experience with increasing scope and technical leadership responsibility Deep expertise in distributed systems design — building and operating large-scale, highly available, fault-tolerant services Extensive hands-on experience with AWS services (compute, networking, identity, databases, serverless, AI/ML) Demonstrated ability to define and drive technical strategy across multiple engineering teams Track record of designing platform-level abstractions that enable other teams to deliver independently Experience establishing and scaling DevOps, CI/CD, and infrastructure-as-code practices across an engineering organization Strong written and verbal communication skills with the ability to influence without authority at all organizational levels Preferred Qualifications Experience with AI/ML systems in production — particularly LLM-based applications, agent frameworks, or multi-agent orchestration Familiarity with AWS AgentCore, Amazon Bedrock, or equivalent agent infrastructure platforms Healthcare industry experience including HIPAA compliance, BAA requirements, and PHI data handling in cloud environments Background in platform engineering for multi-tenant SaaS products Experience with security architecture in regulated industries — threat modeling, policy-as-code, zero-trust patterns Experience designing evaluation and feedback systems for AI/ML applications that connect production performance back to development practices History of publishing technical content, speaking at conferences, or contributing to open-source projects

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      "text": "Key Responsibilities ",
      "content": "<div>Agent Architecture &amp; Design</div>\n\n<li>Define Artera's reference architecture for AI agents</li>\n<li>Establish design patterns for multi-agent orchestration, tool use, memory management, and human-in-the-loop workflows tailored to healthcare operations</li>\n<li>Own technical decisions on agent decomposition, communication patterns, and failure handling for mission-critical healthcare workflows</li>\n<li>Evaluate and integrate emerging agentic AI capabilities as they become available</li>\n<li>Drive continuous improvements to Artera’s operational excellence and security posture</li>\n\n<div>&nbsp;</div>\n<div>Scale-Out Enablement for Builder Teams</div>\n\n<li>Design and maintain the AI development infrastructure — including AI coding skills, structured memory, MCP server tooling, and cross-customer pattern libraries — that enables multiple teams to build customer-specific agent workflows independently and consistently</li>\n<li>Work backwards from customer outcomes: design and consume production evaluation systems that measure how agents actually perform for each customer, derive actionable insights from those evaluations, and feed improvements back into shared development infrastructure as codified best practices</li>\n<li>Codify proven agent development patterns (intent expression, evaluation-driven development, semantic data discovery) into reusable templates and golden paths that keep pace with industry prescriptive guidance</li>\n<li>Define the boundaries between shared platform capabilities (security, compliance, observability, evaluation frameworks) and team-owned customization layers (per-customer prompts, tools, orchestration)</li>\n<li>Establish knowledge-compounding mechanisms so that what one team discovers — or what production evaluation reveals — reaches every other team through structured repositories, automated pattern discovery, and contextual delivery at the moment of relevance</li>\n<li>Provide architectural mentorship and review that ensures teams build agents using intent-based design rather than procedural encoding, and that evaluation criteria are defined before agent construction begins</li>\n\n<div>&nbsp;</div>\n<div>Security — Shift-Left by Default</div>\n\n<li>Embed security into the earliest stages of the development lifecycle through automated threat modeling, policy-as-code, and secure-by-default infrastructure patterns</li>\n<li>Define guardrails for agent permissions, data access scoping, and least-privilege execution in multi-tenant healthcare environments</li>\n<li>Own the security architecture for agent-to-agent communication, secrets management, and PHI handling within agentic workflows</li>\n<li>Partner with security and compliance teams to ensure agent behaviors remain auditable and aligned with healthcare data protection requirements</li>\n\n<div>&nbsp;</div>\n<div>Observability &amp; Operability</div>\n\n<li>Design observability architecture for agentic systems — tracing agent reasoning chains, monitoring tool invocations, and measuring outcome quality</li>\n<li>Define SLOs, error budgets, and operational runbooks for agent-powered workflows</li>\n<li>Establish patterns for graceful degradation, circuit breaking, and fallback behaviors in agent systems</li>\n<li>Design evaluation frameworks that measure agent effectiveness from the customer's perspective — not just system health, but whether patients achieved their intended outcomes (appointment scheduled, question answered, referral completed)</li>\n<li>Close the feedback loop between production evaluation insights and development practices, ensuring that patterns which improve customer outcomes are systematically propagated to all builder teams</li>\n<li>Ensure operational readiness criteria are met before any agent workflow reaches production</li>\n\n<div>&nbsp;</div>\n<div>DevOps &amp; Engineering Excellence</div>\n\n<li>Raise the bar on CI/CD practices: define pipeline standards, deployment strategies, and infrastructure-as-code patterns for agent workloads</li>\n<li>Drive adoption of trunk-based development, automated testing (unit, integration, end-to-end agent evaluation), and continuous deployment</li>\n<li>Establish engineering quality standards including code review expectations, architecture decision records, and technical debt management</li>\n<li>Define and maintain AI-assisted development workflows — including structured project memory, tool-augmented sessions, and automated pattern delivery — that accelerate onboarding and reduce tribal knowledge dependencies</li>\n<li>Mentor engineers across the organization, conduct architecture reviews, and build a culture of operational ownership</li>\n\n<div>&nbsp;</div>\n<div>Technical Leadership &amp; 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