Job Description
We are seeking a visionary Senior AI & Future Tech Strategist to lead our 2026 Horizon initiative. As we stand on the precipice of the next technological evolution, your role will be pivotal in architecting scalable, ethical, and transformative artificial intelligence solutions. You will bridge the gap between theoretical AI research and practical application, ensuring our platforms remain at the cutting edge of the industry.
Why Join Us?
Work with a world-class team dedicated to defining the future of digital interaction. We offer competitive equity, comprehensive benefits, and the opportunity to work on projects that will shape the next decade of technology.
Responsibilities
- Lead R&D Initiatives: Spearhead the research and development of next-generation AI models, including Large Language Models (LLMs) and autonomous agents.
- Architecture Design: Design robust, scalable, and secure AI infrastructure capable of handling enterprise-grade data loads.
- Ethical AI Governance: Establish frameworks for ethical AI usage, ensuring fairness, transparency, and accountability in all automated systems.
- Technical Mentorship: Mentor a team of talented engineers and data scientists, fostering a culture of innovation and continuous learning.
- Strategic Roadmapping: Define the technical roadmap for the 2026 Horizon project, aligning AI capabilities with business objectives.
- Stakeholder Collaboration: Collaborate with cross-functional teams including Product, Design, and Legal to integrate AI seamlessly into user experiences.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: 5+ years of professional experience in software engineering or AI research, with at least 2 years in a leadership role.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with MLOps tools (Docker, Kubernetes, MLflow) is highly desirable.
- Domain Knowledge: Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems with creative technical solutions.
- Communication: Excellent verbal and written communication skills, with the ability to translate complex technical concepts for diverse audiences.