Job Description
Are you ready to architect the technology landscape of 2026? Nexus Horizon Solutions is at the forefront of innovation, building the next generation of autonomous AI systems. We are seeking a visionary Senior AI & Future Tech Architect to lead our R&D efforts and define the standards for intelligent computing in the coming decade.
In this pivotal role, you will bridge the gap between theoretical AI research and scalable production infrastructure. You will lead a world-class team of engineers tasked with developing predictive models, generative agents, and quantum-ready software stacks. This is not just a job; it is an opportunity to shape the future of technology.
Why Join Us?
- Future-Proof Role: Work on cutting-edge technologies specifically designed for the 2026 era.
- Impact: Directly influence the architecture that will power autonomous fleets and smart cities.
- Equity Package: Competitive compensation with significant stock options.
Responsibilities
- Lead Architecture Design: Design and oversee the implementation of scalable AI infrastructure, ensuring systems are robust, secure, and ready for the demands of 2026.
- Model Development: Spearhead the development and deployment of Large Language Models (LLMs) and reinforcement learning agents.
- Team Leadership: Mentor a diverse team of data scientists, ML engineers, and backend developers to foster a culture of innovation.
- Strategic Planning: Define the technical roadmap for the company’s AI initiatives, aligning with long-term business goals.
- Performance Optimization: Continuously monitor, evaluate, and optimize model performance and system latency.
- Research Integration: Evaluate emerging technologies and integrate them into our existing tech stack to maintain a competitive edge.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in software engineering and at least 4 years in AI/ML architecture roles.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, or Azure).
- System Design: Deep understanding of distributed systems, microservices, and containerization (Kubernetes, Docker).
- Leadership: Proven track record of leading high-performance engineering teams and managing cross-functional projects.
- Innovation: Strong passion for emerging technologies and the ability to think strategically about future tech trends.