Job Description
Are you ready to define the trajectory of Artificial Intelligence in the coming decade? Nexus Future Tech is seeking a visionary Senior AI Strategist to lead our R&D initiatives and bridge the gap between cutting-edge technology and real-world application. As we prepare for the technological landscape of 2026 and beyond, we need a leader who can anticipate trends, architect scalable solutions, and drive ethical innovation.
In this role, you will not just implement existing models; you will shape the future of machine learning infrastructure. Join a team that values forward-thinking, creativity, and technical excellence in the heart of the tech capital.
Responsibilities
- Strategic Leadership: Define and execute the long-term AI strategy for Nexus Future Tech, aligning technical roadmaps with business objectives to drive competitive advantage.
- Architecture Design: Design robust, scalable, and secure AI architectures that can handle high-volume data processing and complex predictive modeling.
- Research & Development: Spearhead research into emerging AI technologies, including Generative AI, Large Language Models (LLMs), and autonomous systems, ensuring our technology stays ahead of the curve.
- Cross-Functional Collaboration: Work closely with product managers, engineers, and stakeholders to translate complex technical concepts into actionable business strategies.
- Ethical AI Oversight: Establish and enforce guidelines for responsible AI development, ensuring fairness, transparency, and accountability in all AI deployments.
- Talent Development: Mentor junior data scientists and engineers, fostering a culture of continuous learning and innovation within the engineering department.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience: Minimum of 8+ years of experience in AI/ML engineering, with at least 3 years in a strategic or leadership role.
- Technical Expertise: Deep understanding of machine learning algorithms, natural language processing, and neural network architectures.
- Programming: Proficiency in Python, C++, or Rust, with experience using frameworks such as PyTorch, TensorFlow, or JAX.
- Strategic Mindset: Proven ability to translate technical capabilities into business value and identify high-impact opportunities for AI integration.
- Communication: Exceptional verbal and written communication skills, with the ability to present complex ideas to non-technical audiences.