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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Governance Architect (Project 2026)

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

We are seeking a visionary Senior AI Governance Architect to lead our revolutionary Project 2026 initiative. As the frontier of artificial intelligence expands, the need for robust ethical frameworks and responsible governance becomes critical. In this high-impact role, you will define the ethical backbone of our next-generation technology stack, ensuring that our AI systems are not only cutting-edge but also safe, transparent, and aligned with human values.

Join us at Nexus Horizon Solutions, where we are building the infrastructure for a responsible digital future. You will collaborate with world-class engineers, ethicists, and policy makers to shape the standards that will govern AI deployment by 2026 and beyond.

Responsibilities

  • Architect Governance Frameworks: Design and implement comprehensive governance models for autonomous AI systems, specifically tailored for the 2026 ecosystem.
  • Conduct Rigorous Audits: Perform deep-dive assessments of algorithmic bias, transparency, and safety across all generative and predictive models.
  • Regulatory Navigation: Stay ahead of global regulatory changes (EU AI Act, US Executive Orders) and translate them into actionable technical requirements.
  • Technical Collaboration: Partner directly with ML engineering teams to integrate ethical guardrails into the software development lifecycle.
  • Stakeholder Advisory: Serve as the primary advisor to the C-suite and board on AI risks and ethical implications.
  • Future-Proofing: Anticipate emerging AI paradigms and proactively adjust governance strategies to mitigate new risks.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Ethics, Philosophy, Law, or a related technical field.
  • Experience: Minimum 8+ years of experience in AI/ML, software engineering, or a related technical domain.
  • Technical Proficiency: Deep understanding of neural networks, NLP, and generative AI model architectures.
  • Soft Skills: Exceptional ability to communicate complex ethical concepts to technical and non-technical stakeholders.
  • Strategic Mindset: Proven track record of leading cross-functional teams in high-stakes, fast-paced environments.

Required Skills

AI Ethics Governance Machine Learning Python SQL Cloud Architecture Compliance Risk Management NLP

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