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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Future Labs at the forefront of ethical AI development for 2026! We're seeking an AI Ethics & Governance Lead to shape responsible AI frameworks that will define the next generation of technology. This pivotal role bridges cutting-edge AI innovation with ethical stewardship, ensuring our solutions align with societal values while driving business growth.

In this position, you'll develop comprehensive governance policies, conduct ethical impact assessments, and lead cross-functional initiatives to embed responsible AI practices across our product lifecycle. You'll collaborate with engineers, policymakers, and industry leaders to establish benchmarks for AI transparency, fairness, and accountability in 2026 and beyond.

Responsibilities

  • Design and implement AI ethics frameworks and governance policies for 2026 product roadmaps
  • Lead ethical risk assessments for AI systems using industry-standard frameworks (e.g., EU AI Act, NIST RMF)
  • Develop bias mitigation strategies for large-scale AI models and data pipelines
  • Coordinate with engineering teams to embed privacy-by-design principles in AI solutions
  • Create transparency mechanisms for AI decision-making processes
  • Represent the organization in AI ethics forums and regulatory discussions
  • Train stakeholders on responsible AI deployment practices

Qualifications

  • Master's degree in Computer Science, Ethics, Public Policy, or related field
  • 8+ years in AI governance, ethics, or compliance with Fortune 500 experience
  • Expertise in regulatory frameworks (EU AI Act, NIST RMF, ISO 42001)
  • Proven track record of implementing ethical AI programs in production environments
  • Strong background in machine learning model auditing and bias detection
  • Certification in AI ethics (e.g., IEEE Ethics Certification, Google ML Ethics)
  • Experience presenting complex ethical concepts to executive leadership

Required Skills

AI Ethics Governance Regulatory Compliance Risk Assessment Bias Mitigation Policy Development Machine Learning Stakeholder Communication

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