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About the role
About the Job We are looking for a Director of Engineering to own our engineering organization and drive the execution of our enterprise-grade AI solutions. This is a pure execution and delivery role. You will bridge executive strategy with hands-on engineering execution, managing Engineering Managers and Tech Leads to ensure our AI systems ship on schedule, perform reliably, and adhere to quality benchmarks. If you thrive on building high-throughput teams, solving non-deterministic AI challenge pipelines, and creating operational discipline, this role is for you. Key responsibilities Delivery Predictability & Execution Own the Release Schedule: Turn long-term product roadmaps into predictable sprint cycles, hitting an 85%+ on-time delivery rate across all engineering teams. Remove Roadblocks: Proactively detect and resolve cross-team dependencies, architectural bottlenecks, and resource constraints before they impact deadlines. Process Discipline: Oversee contemporary CI/CD, automated testing, and agile workflows across all sub-teams to support continuous, low-risk deployments. AI Quality & Governance Production Evaluation Suites: Establish automated evaluation pipelines (evals) to test AI outputs for hallucination rates, relevance, groundedness, and context accuracy before code hits production. Safety & Guardrails: Implement circuit breakers, validation filters, and human-in-the-loop fallbacks to maintain system integrity when underlying LLMs produce unexpected responses. Data & RAG Pipeline Excellence: Maintain vector stores, data ingestion feeds, and retrieval mechanisms to ensure the AI consumes clean, structured, and compliant context. Architecture & System Reliability High Availability: Oversee application architecture to guarantee targeted Service Level Objectives (SLOs), including 99.9% uptime and low time-to-first-token (TTFT) latency. Resilient Infrastructure: Partner with Staff and Principal Engineers to design resilient fallback logic when model APIs drop .
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