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2 days ago
Director of AI Safety Engineering
">OverviewThis role oversees the development and delivery of cutting-edge AI safety services and platforms, ensuring responsible innovation while maintaining speed and quality in development.
">Responsibilities- Lead a cross-functional team to design, develop, and deliver AI safety solutions.
- Partner with clients to understand their AI safety goals, challenges, and integration needs.
- Oversee the creation of tools for alignment assessment, adversarial testing, drift detection, interpretability analysis, and make strategic build-vs-buy decisions.
- 5+ years in software engineering, including 2+ years in a leadership role.
- Proven experience delivering AI/ML or data-intensive platforms.
- Strong background in coaching and talent development.
- Excellent communication and cross-functional collaboration skills.
- Languages/Frameworks: Python, TensorFlow, PyTorch, JavaScript, HTML/CSS.
- Tools: Docker, Kubernetes, REST APIs, SQL/NoSQL databases.
- Cloud Platforms: AWS, GCP, or Azure.
- Understanding of LLMs, prompt engineering, and adversarial testing.
- Familiarity with LangChain, LangGraph.
- Experience with distributed systems (e.g., Spark, Flink).
- Knowledge of AI regulatory frameworks (e.g., SOC 2, ISO 27001).
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