
AI Safety Pioneer
6 days ago
Drive responsible AI innovation by leading the design, development, and delivery of cutting-edge AI safety services and platforms.
Key Responsibilities:- Lead and mentor a cross-functional team of AI engineers, platform engineers, and product managers.
- Set clear goals, promote collaboration, and cultivate a culture of impact and rapid learning.
- Implement agile processes to ensure speed, security, and quality in development.
- Partner closely with clients to understand their AI safety goals, challenges, and integration needs.
- Translate customer requirements into actionable roadmaps aligned with innovation cycles.
- Oversee the creation of tools for alignment assessment, adversarial testing, drift detection, interpretability analysis, and make strategic build-vs-buy decisions to accelerate customer success.
- Implement and enforce best practices in secure coding, automation, monitoring, and infrastructure-as-code.
- Maintain high system reliability through SLAs/SLOs, rigorous testing, and operational dashboards.
- Stay updated on advancements in AI safety, model evaluation, and adversarial robustness.
- Pilot and integrate emerging techniques to improve AI deployment speed and safety.
- Must-Have: 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.
- Technical Proficiency: 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.
- Nice to Have: familiarity with LangChain, LangGraph, experience with distributed systems, knowledge of AI regulatory frameworks.
Responsibly accelerating technology requires building guardrails that let innovation move fast without breaking trust.
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