Senior Director – AI Production Reliability & Trust

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🕒 vor 3 Monaten

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟠 Senior

🤖 Künstliche Intelligenz

🗣️🇺🇸🇬🇧 Englisch erforderlich

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7SG

1 - 10 Mitarbeiter

Gegründet 1999

📱 Medien

🤝 B2B

🤖 Künstliche Intelligenz

Media • B2B • Artificial Intelligence

7SG ist eine Full-Service-Kreativagentur, die Dienstleistungen in den Bereichen Markenentwicklung, digitales Marketing, Web- und App-Entwicklung, Werbung und Markenidentität anbietet. Die Agentur bietet zudem AI-Audits und AI-Integration an, neben Produktionstätigkeiten wie 3D-Animation, Video, Verpackungsdesign, Fotografie und Merchandising. 7SG führt einen schnellen Markentest durch und bietet Beratungen an und bedient sowohl B2B- als auch B2C-Kunden.

Beschreibung

• Production reliability: ensuring HAP (our Hybrid AI Platform) and customer deployments operate dependably under real traffic, real data, and real regulatory constraints • Agent trust: building the frameworks — technical and operational — that allow enterprise customers to trust autonomous AI agents doing work on their behalf • A production quality operating system: quality gates, phase transition criteria, incident taxonomy, observability spec across our 6-layer Reference Architecture • A continuous validation framework for agentic workflows — autonomous evaluation pipelines that catch regression without human intervention • An agent decision qualification framework: risk-tiered oversight for autonomous agent decisions • A trust evidence system: the observable signals that enterprise customers use to extend trust to agents operating on their behalf • Production observability: instrumentation across Ingest, Prepare, Serve, Orchestrate, Monitor, and Optimize layers of the Reference Architecture • A post-mortem and CAPA system: every production incident produces a root cause, a corrective action, and a new test that prevents recurrence

🎯 Anforderungen

• 10+ years in quality, reliability, or production operations for complex distributed systems — with at least some of that time governing AI or ML systems in live production • Direct implementation experience with AI quality frameworks — you built it, not just led a team that built it • Familiarity with the agentic AI quality problem: non-deterministic systems, hallucination detection, behavioral drift, autonomous decision governance • Working knowledge of open-source evaluation and observability frameworks (LangSmith, Arize/Phoenix, RAGAS, PromptFlow, Weights & Biases, or similar) — not just commercial alternatives • Background in regulated industries (financial services, telecom, healthcare, government) where AI quality failures have real contractual and commercial consequences

🏖️ Vorteile

• Startup orientation: comfortable with ambiguity, iterative scope, and a team that moves faster than most people expect

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