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Senior AI Ethics & Strategy Engineer (2026 Vision)

OmniFuture Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Mei 2026
Deadline
30 Mei 2027

Job Description

Are you ready to define the moral landscape of Artificial Intelligence in 2026? OmniFuture Technologies is seeking a visionary Senior AI Ethics & Strategy Engineer to lead our strategic initiatives. In this pivotal role, you will bridge the gap between complex machine learning algorithms and societal impact, ensuring our innovations remain beneficial, transparent, and equitable.

As we look towards the technological horizon of 2026, we need a thought leader who can anticipate ethical dilemmas before they arise. You will work closely with our engineering, product, and legal teams to embed ethical considerations into every layer of our development lifecycle.

Responsibilities

  • Architect and oversee the implementation of comprehensive AI ethical frameworks and compliance standards.
  • Conduct rigorous bias audits and impact assessments on large-scale machine learning models and generative AI systems.
  • Lead cross-functional workshops to integrate ethical decision-making into the product roadmap and development lifecycle.
  • Stay ahead of global regulatory trends, specifically focusing on anticipated 2026 legislative shifts in AI governance and data privacy.
  • Develop educational content and training programs to upskill internal teams on responsible AI practices and bias mitigation.
  • Collaborate with external stakeholders, including policymakers, academia, and industry bodies, to advocate for responsible AI adoption.

Qualifications

  • PhD or Master’s degree in Computer Science, Philosophy, Ethics, Law, or a related technical field.
  • Minimum of 8+ years of experience in AI/ML, with a proven track record in ethics, policy, or compliance.
  • Deep understanding of generative AI, NLP, and deep learning architectures.
  • Exceptional ability to translate complex technical concepts into clear, actionable ethical guidelines for non-technical stakeholders.
  • Strong experience in regulatory compliance, risk management, and navigating the tech sector landscape.
  • Demonstrated leadership in mentoring diverse teams and fostering an inclusive culture of innovation.

Required Skills

Artificial Intelligence Machine Learning Ethics Data Privacy Compliance Python Strategic Planning Leadership Generative AI

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