AI Safety & Responsible AI Lead
Overview
You will own the AI safety strategy for a Fortune 50 client, ensuring responsible AI practices across machine learning pipelines and model deployments. You will lead a team of 5 engineers and data scientists, working with Python, TensorFlow, and PyTorch. You will define governance frameworks, conduct risk assessments, and implement safety guardrails for AI systems that serve millions of users. This role stands out for its direct influence on enterprise-wide AI ethics and regulatory compliance.
What You'll Do8
- 1Build a comprehensive AI safety framework within the first 90 days, integrating with existing MLOps workflows and Kubernetes clusters.
- 2Lead the design of model risk assessment processes, covering fairness, bias, and explainability for NLP and computer vision models.
- 3Drive the implementation of monitoring systems using Python and AWS to detect model drift and safety violations in production.
- 4Collaborate with legal and compliance teams to align AI safety policies with GDPR and other regulations.
- 5Ship a responsible AI playbook that standardizes model validation across all client projects.
- 6Debug and refine safety guardrails for generative AI systems, including LLM outputs and RAG architectures.
- 7Scale the AI safety team by mentoring junior engineers and establishing certification tracks in AI ethics.
- 8Own the quarterly AI safety audit cycle, presenting findings to senior leadership and client stakeholders.
Requirements7
- 17+ years in AI/ML with 3+ years focused on AI safety or responsible AI.
- 2Proven track record leading AI governance initiatives in large enterprises.
- 3Expertise in Python, TensorFlow, PyTorch, and model interpretability tools like SHAP and LIME.
- 4Deep understanding of LLM safety, including prompt injection, hallucination mitigation, and alignment techniques.
- 5Experience with AWS AI services and Kubernetes for model deployment and monitoring.
- 6Strong knowledge of AI regulations: EU AI Act, GDPR, and emerging US standards.
- 7Excellent communication skills, with the ability to translate technical AI risks to non-technical stakeholders.
Salary Insight
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