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Job Description & How to Apply Below
The Opportunity
We are building a dedicated AI Red Team to rigorously test and harden enterprise-scale AI products deployed to some of the world’s largest organizations.
Security testing is only part of enterprise AI assurance.
We are seeking an AI Risk & Responsible AI Lead to design and operationalize structured evaluation frameworks across safety, bias, robustness, explainability, and data governance.
This role ensures our AI systems are secure, trustworthy, measurable, and enterprise-ready.
What You’ll Do- Design and implement model evaluation frameworks across AI products
- Develop methodologies for:
- Bias and fairness testing
- Hallucination and reliability assessment
- Robustness and stress testing
- Safety benchmarking
- Evaluate training data governance practices
- Review RAG systems for retrieval accuracy and exposure risks
- Establish measurable risk metrics across AI deployments
- Align evaluation outputs with:
- NIST AI Risk Management Framework
- ISO 27701 privacy requirements
- Enterprise governance standards
- Produce structured, executive-ready documentation
- Partner with product and engineering teams to integrate risk mitigation strategies
This role bridges AI engineering, governance, risk quantification and enterprise accountability.
Requirements What We’re Looking For Core AI Evaluation Expertise- Experience designing model evaluation frameworks
- Familiarity with bias detection methodologies
- Understanding of hallucination testing and reliability measurement
- Experience stress-testing LLM-based systems
- Strong Python and experimentation capabilities
- Knowledge of NIST AI RMF
- Familiarity with privacy-by-design principles
- Experience operating within ISO 27001 / SOC 2 environments
- Understanding of enterprise AI risk posture expectations
- Ability to translate model risk into business impact
- Strong documentation skills
- Comfortable presenting findings to executive audiences
- Systems-thinking mindset
- Structured and methodical
- Deeply curious about model behavior
- Pragmatic about risk
- Comfortable challenging assumptions
- Independent and decisive
- Able to operate at executive altitude without losing technical depth
You understand that AI risk is not just about being hacked — it’s about predictability, fairness, resilience, and trust.
Benefits- Comprehensive Private Medical Coverage
- Support for Mental Health Expenses
- Life Insurance Options
- Attractive Compensation Package
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