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Head of Generative AI Solutions
2 months ago
Position: AI Leader - International Tax Strategy (Generative AI)
Location: Remote
Key Responsibilities:
- Lead the Development of Language Models: Oversee the design and optimization of large language models to improve the precision and applicability of tax strategy solutions.
- Enhance Retrieval-Augmented Generation Systems: Innovate and enhance systems that integrate external knowledge into AI frameworks, ensuring thorough and up-to-date insights.
- Execute Advanced Prompt Engineering: Implement advanced techniques in prompt engineering to elevate AI system performance and user engagement.
- Utilize Reinforcement Learning from Human Feedback: Apply RLHF methodologies to enhance AI models based on user feedback and practical outcomes.
- Establish Data Security Protocols: Develop and maintain stringent security measures to safeguard sensitive information and promote ethical AI practices.
- Collaborate Across Departments: Partner with product, engineering, and compliance teams to ensure AI projects align with corporate goals and regulatory standards.
- Stay Informed on AI Trends: Continuously monitor advancements in AI and generative technologies, integrating innovative practices to maintain a competitive advantage.
- Mentor AI Development Teams: Provide guidance and mentorship to a team of AI professionals, nurturing a culture of creativity and ongoing education.
Qualifications:
- Experience with Language Models and AI Technologies: Demonstrated success in fine-tuning large language models and developing AI technologies in a commercial setting.
- Proficiency in RAG, Prompt Engineering, and RLHF: Extensive knowledge in Retrieval-Augmented Generation, prompt engineering, and Reinforcement Learning from Human Feedback.
- Security Expertise for AI Applications: Proven experience in implementing security protocols for generative AI solutions.
- Relevant Industry Background: Familiarity with international tax strategy or the financial services sector is advantageous.
- Leadership and Communication Proficiency: Strong leadership and communication abilities, with a record of managing and developing high-performing teams.
- Adaptability in Fast-Paced Settings: Ability to excel in a dynamic, startup-like environment while juggling multiple responsibilities.
- Analytical and Strategic Thinking Skills: Excellent problem-solving capabilities and a strategic approach to challenges.
Education:
- Relevant Academic Background: A degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline. Advanced degrees (Master's or Ph.D.) are preferred.