Senior Director – AI Production Reliability & Trust

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🕒 March 24

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7SG

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 1999

📱 Media

🤝 B2B

🤖 Artificial Intelligence

Media • B2B • Artificial Intelligence

7SG is a full-service creative agency that provides brand development, digital marketing, web and app development, advertising, and brand identity services. The agency also offers AI audits and AI integration alongside production capabilities such as 3D animation, video, packaging design, photography, and merchandising. 7SG runs a quick brand test and offers consultations, serving both B2B and B2C clients.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

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