Job Description
Shape the future of artificial intelligence at Nexus Intelligence Group, where ethical innovation meets transformative impact. We're seeking a visionary AI Ethics Strategist to lead our responsible AI framework development and deployment across next-generation systems. Join our pioneering team at the forefront of 2026's technological landscape, ensuring AI advancements align with human values and societal progress.
As a key architect of our ethical AI roadmap, you'll collaborate with C-suite executives, research scientists, and product teams to embed fairness, transparency, and accountability into AI lifecycles. This role offers unparalleled influence in defining industry standards while working with cutting-edge technologies that will redefine how humanity interacts with artificial intelligence.
Responsibilities
- Develop and implement comprehensive AI ethics frameworks aligned with 2026 regulatory landscapes and societal expectations
- Lead cross-functional audits of AI systems for bias mitigation, algorithmic transparency, and compliance with emerging standards
- Shape corporate AI governance policies and establish ethical review boards for high-stakes deployments
- Conduct foresight research on emerging AI risks and opportunities, preparing strategic recommendations
- Partner with product teams to embed ethical considerations throughout the AI development lifecycle
- Represent the organization in global AI ethics forums and contribute to industry best practices
- Mentor junior researchers and establish ethics training programs for technical teams
Qualifications
- Advanced degree in Computer Science, AI Ethics, Philosophy, Law, or related field with 8+ years of experience
- Proven expertise in developing AI governance frameworks with measurable ethical impact metrics
- Deep understanding of regulatory landscapes (EU AI Act, NIST AI RMF, upcoming 2026 frameworks)
- Experience with bias detection tools and algorithmic auditing methodologies
- Exceptional communication skills with ability to translate complex ethical concepts for diverse stakeholders
- Published research or thought leadership in AI ethics, responsible innovation, or technology governance
- Track record of implementing ethical AI solutions in production environments
- Certification in AI ethics (e.g., IEEE, ACM, or equivalent preferred)