Job Description
NexaFuture Corp is pioneering the technologies that will define the year 2026. We are seeking a visionary Strategic AI Lead to bridge the gap between current capabilities and the future landscape.
In this pivotal role, you will define our technical roadmap, oversee the integration of next-generation AI models, and lead a high-performance engineering team pushing the boundaries of what is possible. Join us in shaping the digital frontier of 2026.
Responsibilities
- Architect the 2026 Roadmap: Define the long-term technical vision and strategy for AI integration, ensuring alignment with business goals and futuristic trends.
- Lead Advanced AI Development: Oversee the research and deployment of cutting-edge Machine Learning and Neural Network models designed for the 2026 era.
- Team Leadership: Mentor a diverse team of engineers and data scientists, fostering a culture of innovation, technical excellence, and collaborative problem-solving.
- System Integration: Design scalable cloud architectures capable of handling high-volume data streams and predictive analytics required for 2026 operations.
- Stakeholder Communication: Translate complex technical concepts into clear strategic insights for executive leadership and non-technical stakeholders.
- Innovation Management: Stay ahead of emerging technologies to identify opportunities for competitive advantage in the upcoming years.
Qualifications
- Experience: 10+ years of experience in software engineering, with at least 5 years in a senior leadership role within Artificial Intelligence or Machine Learning.
- Technical Expertise: Deep knowledge of Python, TensorFlow, PyTorch, and cloud infrastructure (AWS/Azure/GCP).
- Strategic Vision: Proven track record of defining and executing long-term technical strategies with a focus on future scalability.
- Leadership: Demonstrated ability to lead, hire, and retain top-tier engineering talent in a fast-paced environment.
- Communication: Exceptional ability to communicate complex technical strategies to executive stakeholders.
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree is preferred.