Job Description
Are you ready to architect the technological landscape of 2026 and beyond? Nova Horizon Systems is seeking a visionary Senior AI Architect to lead our next-generation research initiatives. We are not just building software; we are defining the future of intelligent systems.
In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and scalable production infrastructure. You will be at the forefront of the 2026 Tech Vision, implementing cutting-edge algorithms that predict and adapt to the evolving digital ecosystem.
Why Join Us?
- Shape the Future: Directly influence the roadmap for the next decade of AI development.
- Elite Team: Collaborate with world-class researchers and engineers.
- Innovation Culture: Work in an environment that prioritizes R&D and experimental tech.
Responsibilities
- Lead Architectural Vision: Design and implement the core architecture for next-gen AI models and neural networks, ensuring scalability and efficiency for 2026 standards.
- Algorithm Development: Spearhead research into emerging AI paradigms, including predictive intelligence and autonomous agent systems.
- System Integration: Oversee the seamless integration of AI solutions into existing cloud infrastructure, ensuring high availability and low latency.
- Technical Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of continuous learning and innovation.
- Future-Proofing: Continuously analyze emerging technologies and industry trends to advise leadership on strategic tech investments.
- Performance Optimization: Optimize model training pipelines and inference engines to handle massive data sets in real-time.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 8+ years of experience in software engineering, with at least 5 years in a senior AI/ML architect role.
- Technical Proficiency: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems (Kubernetes, Docker).
- Research Background: Proven track record of publishing research papers or leading open-source contributions in the AI space.
- Strategic Thinking: Ability to translate complex research concepts into robust, business-ready technical solutions.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.