Job Description
We are on a mission to build the technological infrastructure for the year 2026. Nexus Horizons is seeking a visionary AI Strategy Architect to spearhead our research into next-generation artificial intelligence, generative models, and autonomous systems. If you possess the foresight to anticipate where technology is heading and the technical prowess to build it, this is your opportunity to shape the future.
Why Join Us?
- Work on cutting-edge projects that will define the industry landscape.
- Competitive compensation package with equity opportunities.
- Flexible remote and hybrid work environment.
The Role
As the 2026 AI Strategy Architect, you will bridge the gap between theoretical research and practical deployment. You will lead a team of elite engineers in designing systems that are not only powerful today but scalable for the demands of tomorrow.
Responsibilities
- Strategic Visioning: Define the technical roadmap and architectural blueprints for AI systems designed to operate at scale in the 2026 era.
- Research Leadership: Oversee experimental research into Large Language Models (LLMs), reinforcement learning, and neural-symbolic integration.
- System Architecture: Design robust, secure, and efficient backend systems capable of handling petabyte-scale data processing.
- Team Mentorship: Guide junior architects and researchers, fostering a culture of innovation and technical excellence.
- Stakeholder Communication: Translate complex technical concepts into compelling narratives for investors and executive leadership.
- Future-Proofing: Continuously assess emerging technologies (Quantum Computing, Edge AI) to integrate them into our core infrastructure.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Robotics, or a related field.
- Experience: 8+ years of experience in software engineering, with at least 4 years in a leadership or architectural role.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks. Experience with distributed systems and cloud architecture (AWS/GCP).
- Innovation: A proven track record of patenting or publishing novel algorithms in the field of AI/ML.
- Problem Solving: Ability to tackle ambiguous problems and derive clear, scalable technical solutions.
- Communication: Exceptional verbal and written communication skills in English.