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AI Cybersecurity Strategist
2 weeks ago
About TAC Security
TAC Security is a leading provider of innovative cybersecurity solutions. We are committed to staying at the forefront of AI and machine learning technologies, leveraging them to enhance our products and services.
Job Summary
We are seeking an experienced AI Cybersecurity Strategist to join our team. As an artificial intelligence researcher, you will design, develop, and deploy AI/ML models to improve our cybersecurity solutions. Your expertise will help us stay ahead of emerging threats and maintain the highest level of security for our customers.
Key Responsibilities
- AI Strategy Development: Collaborate with our leadership team to develop and implement AI strategies that align with our business goals, enhancing our products, services, and operational efficiency.
- AI Integration: Work closely with various departments to identify opportunities for AI integration, improving processes and decision-making across the organization.
- Innovation and Research: Stay up-to-date on the latest advancements in AI, fostering a culture of innovation and guiding research and development efforts.
- Governance and Ethics: Establish governance frameworks to ensure responsible and ethical AI usage, promoting transparency and accountability within the organization.
- Team Leadership: Lead and build high-performing AI teams, providing mentorship and promoting continuous learning.
- Stakeholder Communication: Serve as the primary advisor on AI matters to our CEO and other senior leaders, effectively communicating AI strategies and outcomes.
- Risk Management: Ensure AI initiatives comply with relevant laws and regulations, managing associated risks.
Qualifications
- Educational Background: Advanced degree in Computer Science, Data Science, AI, or related fields.
- Experience: Extensive experience in AI and machine learning, with a proven track record in leadership roles.
- Technical Expertise: Deep understanding of AI technologies and their applications.
- Strategic Thinking: Ability to align AI initiatives with business objectives, driving measurable value.
- Leadership Skills: Strong team-building and leadership capabilities, fostering collaboration and innovation.
- Communication Skills: Excellent verbal and written communication skills, capable of engaging with both technical and non-technical stakeholders.