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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Governance Lead

FutureForge Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join FutureForge Labs at the forefront of responsible AI development. We're seeking an AI Ethics & Governance Lead to shape ethical frameworks for our 2026 product roadmap. This pivotal role bridges cutting-edge AI innovation with human-centric principles, ensuring our technologies advance society ethically. You'll collaborate with world-class engineers, policymakers, and ethicists to build governance systems that scale with our autonomous systems.

Our San Francisco headquarters features state-of-the-art labs, flexible workspaces, and unparalleled benefits including unlimited learning stipends and quarterly innovation retreats. We offer competitive compensation, equity packages, and the opportunity to define the future of ethical AI.

Responsibilities

  • Develop and implement comprehensive AI ethics frameworks aligned with 2026 regulatory landscapes
  • Lead cross-functional audits of autonomous systems for bias, fairness, and transparency
  • Partner with product teams to embed ethical design principles into development lifecycles
  • Create governance protocols for generative AI and neural network decision-making
  • Represent the company at international AI ethics summits and policy discussions
  • Mentor junior ethicists and build an internal AI ethics review board

Qualifications

  • Master's degree in Computer Science, Philosophy, Law, or related field with 5+ years in AI ethics
  • Proven experience developing ethical frameworks for deployed AI systems
  • Expertise in regulatory compliance (EU AI Act, NIST AI RMF, etc.)
  • Published research in AI ethics or demonstrated thought leadership
  • Strong technical literacy in ML/AI architectures and limitations
  • Exceptional communication skills for translating complex ethics concepts

Required Skills

AI Ethics Machine Learning Governance Regulatory Compliance Bias Mitigation AI Policy Development Neural Networks Ethical Design Risk Assessment

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