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Information Technology 🏢 Full Time ⭐️ Verified

AI Ethics & Future Tech Lead

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Innovations at the forefront of shaping 2026's technological landscape. We're seeking a visionary AI Ethics & Future Tech Lead to architect responsible AI frameworks and guide our innovation roadmap. This role sits at the intersection of cutting-edge technology and human-centric design, ensuring our solutions align with societal values while driving competitive advantage.

As a pioneer in future-tech strategy, you'll collaborate with cross-functional teams to develop governance protocols for emerging technologies, from quantum computing integration to neural interface design. Our culture celebrates bold thinking and ethical rigor, offering unparalleled opportunities to influence how the world interacts with tomorrow's innovations.

Responsibilities

  • Design and implement ethical AI governance frameworks for 2026 technology deployments
  • Lead cross-functional workshops to align technical teams on future-tech roadmaps
  • Conduct impact assessments for emerging technologies (quantum, biotech, neural interfaces)
  • Develop regulatory compliance strategies for next-gen AI and autonomous systems
  • Mentor junior researchers in responsible innovation methodologies
  • Represent the company at global tech ethics summits and policy forums
  • Author thought leadership on AI ethics and future-tech implications

Qualifications

  • 10+ years in AI/ML with 5+ years in ethics or governance roles
  • PhD or equivalent in Computer Science, Ethics, or Philosophy with tech focus
  • Published work on AI ethics frameworks or future-tech policy
  • Experience with regulatory bodies (NIST, IEEE, EU AI Act)
  • Expertise in quantum computing or biotech integration challenges
  • Proven track record of scaling ethical AI initiatives in enterprise environments
  • Exceptional communication skills for technical and non-technical stakeholders
  • Deep understanding of 2026 technology landscape projections

Required Skills

AI Ethics Machine Learning Governance Future-Tech Strategy Quantum Computing Neural Interfaces Regulatory Compliance Cross-Functional Leadership Policy Development

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