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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

NexusAI Solutions
Austin
Estimated Salary
USD 140.000 – USD 185.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join NexusAI Solutions at the forefront of responsible AI development. We're seeking an innovative AI Ethics Strategist to shape ethical frameworks for our next-generation autonomous systems. This pivotal role bridges technical innovation with societal impact, ensuring our AI solutions advance human welfare while mitigating risks. You'll collaborate with cross-functional teams to embed ethical principles into product lifecycles and influence industry standards.

What you'll achieve:

  • Develop comprehensive AI ethics governance frameworks aligned with evolving regulatory landscapes
  • Lead bias audits and algorithmic fairness assessments for high-stakes AI deployments
  • Translate complex ethical concepts into actionable guidelines for engineering teams
  • Establish stakeholder engagement protocols for diverse community input
  • Drive thought leadership through whitepapers and industry forums

Responsibilities

  • Design and implement AI ethics monitoring systems for real-time compliance tracking
  • Conduct adversarial testing to identify edge cases with ethical implications
  • Create ethics-by-design checkpoints for product development sprints
  • Partner with legal teams to ensure GDPR/CCPA alignment in AI deployments
  • Lead cross-functional ethics working groups with engineers, designers, and policy experts
  • Develop transparency protocols for explainable AI systems
  • Report on ethical performance metrics to executive leadership

Qualifications

  • Master's degree in Ethics, Philosophy, Computer Science, or related field
  • 5+ years in AI governance, responsible AI, or ethics compliance
  • Proven experience with regulatory frameworks (EU AI Act, NIST RMF, etc.)
  • Deep understanding of algorithmic bias mitigation techniques
  • Exceptional stakeholder communication across technical and non-technical audiences
  • Published work on AI ethics or relevant conference presentations
  • Experience with ML model auditing tools (e.g., IBM AI Fairness 360)
  • Strong background in privacy-preserving machine learning methods

Required Skills

AI Ethics Machine Learning Governance Algorithmic Auditing Regulatory Compliance Explainable AI Bias Mitigation Stakeholder Engagement NIST Framework EU AI Act Privacy Engineering

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