
Chief AI Safety Strategist
16 hours ago
Unlock Responsible AI Innovation
We're looking for a skilled professional to lead our team in driving responsible AI innovation at the speed of progress.
The Impact You'll Make- Accelerate responsible innovation by providing world-class AI safety services that allow our customers to quickly deploy new models and applications without compromising on safety.
- Influence the industry by establishing best practices, scalable tools, and clear benchmarks that set the standard for AI safety.
- Drive customer success through tools and platforms that integrate seamlessly into customer workflows, enabling safe and rapid innovation.
- Lead and inspire your team:
- Set clear goals, mentor team members, and foster a culture of impact, collaboration, and rapid learning.
- Implement agile processes that prioritize speed without sacrificing quality or security.
- Collaborate closely with customers to understand and address their AI safety challenges:
- Engage directly with customer teams to understand their innovation objectives, pain points, and safety requirements.
- Translate customer needs into actionable roadmaps aligned with their innovation cycles.
- Deliver tools and services that ensure AI applications are aligned, robust, interpretable, and safe:
- Oversee the development of platforms for alignment assessments, adversarial testing, drift detection, and interpretability analysis.
- Make informed build vs. buy decisions to optimize speed and customer integration.
- Promote engineering excellence in a high-stakes environment:
- Establish and enforce secure coding practices, automation, monitoring, and infrastructure-as-code.
- Ensure system reliability through defined SLAs, SLOs, rigorous testing, and clear operational dashboards.
- Continuously innovate within AI safety methodologies:
- Keep current with cutting-edge research in AI safety, adversarial testing, and model evaluation.
- Pilot emerging techniques that enhance our offerings and accelerate customer deployments.
- You have 12+ years of experience in software engineering, with at least 5 years managing technical teams or complex projects.
- You've delivered AI, ML, or data-intensive platforms or services (e.g., model evaluation platforms, MLOps systems, AI safety tools).
- You've demonstrated success in team leadership, coaching, and talent development.
- You excel in cross-functional collaboration and communication, bridging technical concepts with customer value.
- Proficiency in common software languages, frameworks, and tools such as Python, TensorFlow, PyTorch, Docker, Kubernetes, JavaScript, HTML/CSS, REST APIs, and SQL/noSQL databases.
- Expertise in cloud environments such as AWS, GCP, or Azure.
- Familiarity with LLM architectures, including evaluation techniques, prompt engineering, and adversarial testing methodologies.
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