Staff AI Solutions Engineer

🕒 vor 1 Monat

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🔴 Experte

💻 Lösungsingenieur

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

👻 Geisterscore 10%

Was es bedeutet: wie wahrscheinlich diese Stelle offen bleibt, ohne dass aktiv eingestellt wird.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Lebenslauf hochladen

Included Health

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

🏥 Gesundheitswesen

☁️ SaaS

👥 HR Tech

Healthcare • SaaS • HR Tech

Included Health ist ein Unternehmen für Gesundheitstechnologie, das personalisierte, auf Arbeitgeber und Krankenversicherungen fokussierte Primär-, Akut- und Verhaltensgesundheitsversorgung über eine einzige App und ein Netzwerk von virtuellen und persönlichen Dienstleistungen anbietet. Es kombiniert KI-gesteuerte Tools und menschliche Pflegeteams, um eine 24/7 Versorgungskoordination, Unterstützung bei Abrechnungen und Ansprüchen, Zweitmeinungen von führenden Spezialisten und Unterstützung für die mentale Gesundheit bereitzustellen, mit dem Ziel, die Gesundheitskosten der Arbeitgeber zu senken und die Mitgliedererfahrung sowie Inklusion zu verbessern.

Beschreibung

• Design, build, deploy, and maintain production LLM‑based solutions and agent workflows. • Own the technical strategy and reference architecture for enterprise AI solutions across multiple teams and business functions. • Lead high-complexity, cross-functional AI initiatives from ambiguous problem definition through production adoption and measurable business outcomes. • Define and evolve reusable platform capabilities, implementation standards, and governance patterns that enable safe, scalable AI adoption beyond a single team. • Review citizen developer AI agents / solutions to provide recommendations for optimization, ensure compliance with guidelines and measure value. • Influence roadmap and investment decisions across the company through technical leadership and business-value analysis. • Drive technical debates, align stakeholders on tradeoffs, and unblock multi-team execution for strategically important AI initiatives. • Implement, review, and validate code produced by models; write production‑quality code and run code reviews to ensure correctness and security. • Build robust integrations and connectors (MCP, REST/GraphQL APIs, webhooks, SDKs, CLIs) between AI tooling and enterprise SaaS (e.g., Okta, Google Workspace, Slack, Jira, Confluence, Jamf). • Own end‑to‑end deployment and lifecycle for AI services: CI/CD pipelines, Infrastructure as Code modules (Terraform), cloud deployment (GCP/AWS), monitoring, and incident/runbook playbooks. • Establish and operate model evaluation, monitoring, and governance: accuracy and safety metrics, hallucination detection, drift monitoring, telemetry, alerting, and human‑in‑the‑loop controls. • Lead vendor evaluations and POCs across commercial and open‑source LLM/agent platforms; produce comparative performance, risk, and TCO recommendations to inform adoption. • Partner with Cybersecurity and Compliance to design PHI‑safe data handling patterns (sanitization, tokenization, least‑privilege access, audit logging) and ensure AI solutions align with relevant controls and policies. • Create and maintain architecture diagrams, API documentation, runbooks, support documentation, and onboarding materials so solutions are maintainable and auditable. • Mentor engineers and influence architectural standards for AI/LLM adoption across Digital Workplace; contribute reusable libraries and IaC modules to accelerate future builds. • Drive automation of operational tasks (provisioning, onboarding, common workflows) via agents and workflow tooling to reduce manual processes. • Partner with Technology Services leadership to implement AI spend management tools and value tracking.

🎯 Anforderungen

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. • 8+ years professional software engineering / systems integration experience. • Practical experience owning the complete lifecycle of LLMs and agent • Experience evaluating model performance, mitigating hallucinations and bias, and implementing human‑in‑the‑loop controls. • Ability to define reference architectures and reusable patterns for AI services used across multiple teams. • Experience making architectural tradeoffs across reliability, latency, cost, security, and maintainability in production systems. • Experience establishing engineering standards, guardrails, and paved-road patterns for AI development and deployment. • Experience optimizing model/runtime cost, usage controls, and value measurement. • Strong coding experience in Python and/or TypeScript/JavaScript with production software engineering discipline (code reviews, testing, CI/CD). • Experience designing and building API integrations (REST/GraphQL), webhooks, and custom connectors to SaaS applications. • Experience with Infrastructure as Code (Terraform) and deploying services to cloud platforms (GCP/AWS). • Familiarity with CI/CD tooling and observability best practices (metrics, logs, tracing). • Working knowledge of security best practices for data‑sensitive systems and experience collaborating with Security & Compliance teams. Experience in healthcare or other regulated environments is strongly preferred. • Strong communicator and collaborator who can translate ambiguous business needs into technical designs and influence cross‑functional stakeholders. • Bias for action: ability to move quickly from POC to production while keeping operational rigor with change management. • Detail oriented with a security‑first mindset. • Proven ability to influence technical direction and align cross-functional stakeholders without direct authority. • Skilled at leading technical debates, resolving conflict, and driving decisions in ambiguous, high-stakes environments. • Strong executive communication skills, with the ability to translate complex technical concepts into clear business decisions and risk tradeoffs.

🏖️ Vorteile

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development