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AI Ethics & Governance Lead

EthicaTech Solutions
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join EthicaTech Solutions at the forefront of responsible AI innovation. We're seeking a visionary AI Ethics & Governance Lead to architect ethical frameworks for next-generation AI systems deployed by Fortune 500 clients. Shape the future of technology while ensuring human-centric values remain central to AI development. This role combines strategic oversight with hands-on implementation of ethical AI practices in high-stakes environments.

As a key member of our Innovation Council, you'll influence industry standards while building scalable governance models for autonomous systems, generative AI, and predictive analytics. Collaborate with research partners at MIT and Stanford to pioneer responsible AI methodologies that will define the 2026 technological landscape.

Responsibilities

  • Design and implement AI ethics frameworks for enterprise-level deployments
  • Lead cross-functional audits of algorithmic systems for bias and fairness
  • Develop governance policies for generative AI and autonomous decision systems
  • Coordinate with legal teams on regulatory compliance (EU AI Act, NIST frameworks)
  • Train technical teams on ethical AI implementation and risk mitigation
  • Author industry white papers on responsible AI practices
  • Stakeholder communication with C-suite executives and regulatory bodies

Qualifications

  • Master's degree in Computer Science, Ethics, or related field (PhD preferred)
  • 8+ years in AI/ML with 4+ years in governance or ethics roles
  • Expertise in NIST AI Risk Management Framework and EU AI Act
  • Proven experience building ethics review boards for AI systems
  • Strong understanding of fairness metrics and bias detection algorithms
  • Certification in AI Ethics (e.g., IEEE, ACM)
  • Public speaking experience at tech ethics conferences
  • Portfolio of implemented AI governance projects

Required Skills

AI Ethics Governance Machine Learning Risk Assessment Regulatory Compliance Algorithmic Auditing Generative AI NIST Framework EU AI Act Stakeholder Communication

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