Lead AI Engineer

🕒 vor 1 Monat

⛷️ Utah – Remote

⛷️ Utah – Remote

💵 $170.000 - $215.000 / Jahr

⏰ Vollzeit

🟠 Senior

🤖 KI-Ingenieur

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InsCipher

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11 - 50 Mitarbeiter

🛡️ Versicherung

☁️ SaaS

🔌 API

Insurance • SaaS • API

InsCipher ist ein B2B-Software- und Dienstleistungsunternehmen, das die Berechnung, Einreichung und Bezahlung von Überschussliniensteuern für Teilnehmer der Versicherungsbranche vereinfacht. Es bietet eine SOC-2-zertifizierte SaaS-Plattform (InsCipher Connect®), vollständig verwaltete Einreichungsdienste und Entwickler-APIs (Tax Calculator API, Tax Docs API), um MGAs, Makler, Einzelhandelsagenturen und Versicherer bei der Automatisierung der Steuerkonformität und Berichterstattung in US-Bundesstaaten und Territorien zu unterstützen.

Beschreibung

• Define the AI engineering roadmap and architecture standards across the organization • Lead build vs. buy vs. integrate decision-making for AI systems and platforms – and be accountable for articulating how you arrived at those decisions • Evaluate emerging tools, frameworks, and models; provide clear, defensible recommendations to leadership • Serve as the ultimate technical escalation point for complex AI/ML system design challenges • Architect AI solutions for our enterprise platform • Design systems for scale, reliability, and cost-efficiency in production environments • Establish LLMOps practices • Ensure AI systems integrate cleanly with existing product and engineering infrastructure • Partner closely with Product and Engineering leadership to align AI capabilities with business outcomes • Receive operational support to help initiate and coordinate cross-functional engagement • Provide clear guidance on resource allocation • Translate complex technical concepts for non-technical audiences • Champion and introduce AI-assisted coding practices and developer tooling across the engineering organization • Define standards for responsible AI development including guardrails, evaluation frameworks, and security considerations • Drive continuous improvement in how the organization builds and ships AI-powered features

🎯 Anforderungen

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field (or equivalent practical experience) • 8+ years of software engineering experience, with demonstrated mastery designing and shipping production systems where correctness, reliability, and auditability matter • 2+ years building production LLM/GenAI and agentic systems, plus fluency with AI-assisted coding tooling and the judgment to set org-wide standards, evals, and guardrails for AI-generated code • Sound judgment about where AI belongs and where it must not – comfortable with probabilistic agents for customer-facing and research tasks, while keeping policy binding, money movement, and compliance flows deterministic, auditable, and human-governed • Experience making and communicating build vs. buy vs. integrate decisions at an organizational level • Proficiency in Python and the modern GenAI application stack – agent/orchestration frameworks (e.g. LangChain, LlamaIndex, or equivalents), model-provider SDKs, vector databases, and evaluation tooling • Exceptional written and verbal communication skills – you can write a crisp architecture decision record and present it to a board-level audience.

🏖️ Vorteile

• Health, dental, and vision plans • Amazing work-life balance with 4 weeks of Paid Time Off • 10 Paid Company Holidays with 2 floating holidays • 401K Programs with employer match • Personal assistance programs for support in a healthy personal and work life