
Chief AI Safety Architect
2 days ago
We're looking for a seasoned leader to drive the future of responsible AI innovation.
- Main Responsibilities:
- Lead and mentor cross-functional teams
- Implement agile processes for speed, security, and quality
- Develop tools for alignment assessment, adversarial testing, drift detection, interpretability analysis
Key Qualifications:
- 5+ years in software engineering with 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 collaboration skills
Tech Skills:
- Languages/Frameworks: Python, TensorFlow, PyTorch, JavaScript, HTML/CSS
- Tools: Docker, Kubernetes, REST APIs, SQL/NoSQL databases
- Cloud Platforms: AWS, GCP, or Azure
Bonus Points:
- Familiarity with LangChain, LangGraph
- Experience with distributed systems (e.g., Spark, Flink)
- Knowledge of AI regulatory frameworks (e.g., SOC 2, ISO 27001)
About This Role:
This is an exciting opportunity to lead the design, development, and delivery of cutting-edge AI safety services and platforms. As AI accelerates, safety can't be an afterthought. We need someone who can build guardrails that let innovation move fast without breaking trust.
Why You'd Love This Job:
You'll have the chance to work on complex technical problems, collaborate with talented engineers, and contribute to building a safer future for AI.
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