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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics Strategist

Nexus Innovations
San Francisco
Estimated Salary
USD 140.000 – USD 180.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

Join Nexus Innovations at the forefront of responsible AI development. We're seeking a visionary AI Ethics Strategist to shape our ethical frameworks for 2026 and beyond. In this pivotal role, you'll architect governance policies, conduct bias audits, and ensure our AI systems align with evolving global standards. Collaborate with cross-functional teams to embed ethics into the product lifecycle while representing our commitment to transparent, human-centered innovation.

Responsibilities

  • Design and implement AI ethics governance frameworks aligned with NIST and EU AI Act standards
  • Lead bias mitigation initiatives across machine learning pipelines and generative AI tools
  • Conduct risk assessments for high-stakes AI deployments in healthcare and finance sectors
  • Develop stakeholder communication strategies for ethical AI transparency initiatives
  • Partner with engineering teams to embed ethical safeguards into MLOps workflows
  • Establish industry benchmarks for responsible AI deployment metrics
  • Advocate for ethical AI principles at regulatory and industry forums

Qualifications

  • Master's degree in Ethics, Computer Science, Public Policy, or related field
  • 5+ years in AI governance, compliance, or responsible tech roles
  • Deep expertise in regulatory frameworks (EU AI Act, NIST RMF, ISO 42001)
  • Experience with bias detection tools (Aequitas, IBM Fairness 360)
  • Proven ability to translate technical concepts for non-technical stakeholders
  • Certification in AI ethics (e.g., IEEE Ethically Aligned Design)
  • Published research on AI accountability or algorithmic transparency
  • Experience collaborating with legal and product development teams

Required Skills

AI Ethics Governance Risk Management Bias Mitigation Regulatory Compliance Stakeholder Communication MLOps Algorithmic Transparency

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