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2026 AI Ethics Lead

InnovateCore Solutions
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join InnovateCore Solutions at the forefront of ethical AI development as we pioneer responsible technology for 2026. We seek a visionary 2026 AI Ethics Lead to shape our ethical frameworks while driving cutting-edge AI innovation. This role sits at the intersection of technology and humanity, ensuring our AI systems advance society while safeguarding human values.

In this pivotal position, you'll architect governance frameworks, conduct bias audits, and collaborate with C-suite executives to embed ethics into our product lifecycle. You'll lead cross-functional teams in developing transparent AI systems that prioritize equity, accountability, and user trust. If you're passionate about building a future where technology serves humanity, this is your opportunity to make a transformative impact.

Responsibilities

  • Design and implement comprehensive AI ethics governance frameworks aligned with 2026 regulatory landscapes
  • Lead bias audits and fairness assessments across all AI development pipelines
  • Collaborate with product teams to integrate ethical considerations into AI system design
  • Develop stakeholder communication strategies for transparent AI deployment processes
  • Establish continuous monitoring systems for ethical compliance in production AI environments
  • Lead cross-functional working groups to resolve ethical dilemmas in AI implementations
  • Contribute to industry-wide ethical AI standards and best practices

Qualifications

  • PhD or Master's in Ethics, Philosophy, Computer Science, or related field
  • 7+ years of experience in AI governance, compliance, or ethical technology leadership
  • Proven expertise in bias mitigation and fairness assessment methodologies
  • Deep understanding of global AI regulations (EU AI Act, NIST frameworks, etc.)
  • Exceptional stakeholder management skills with executive experience
  • Published research or industry recognition in AI ethics or responsible AI
  • Strong background in machine learning systems and technical implementation

Required Skills

AI Ethics Governance Frameworks Bias Mitigation Regulatory Compliance Stakeholder Management Machine Learning Systems Fairness Assessment Strategic Leadership

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