Job Description
Are you ready to architect the future of intelligence?
Nexus Horizon is seeking a visionary Senior AI Architect to lead our cutting-edge research division. As we gear up for the technological paradigm shift of 2026, we need a technical mastermind to bridge the gap between theoretical AI breakthroughs and scalable, production-ready systems.
In this pivotal role, you won't just be writing code; you will define the architectural standards for the next generation of autonomous agents, generative models, and quantum-enhanced software solutions.
Why Join Us?
- Future-Ready: Work on projects explicitly designed to meet the demands of 2026 and beyond.
- High Impact: Your work will directly influence global standards in ethical AI and machine learning.
- Elite Team: Collaborate with world-class researchers and engineers.
Responsibilities
- Architect Next-Gen Systems: Design and implement scalable microservices architectures optimized for AI workloads, focusing on low-latency and high-throughput requirements.
- Lead the 2026 Roadmap: Collaborate with product leaders to translate long-term strategic goals into concrete technical milestones.
- Model Optimization: Fine-tune and optimize Large Language Models (LLMs) and Computer Vision algorithms for edge devices and cloud deployment.
- Code Review & Mentorship: Establish rigorous code quality standards and mentor junior engineers and data scientists.
- Cross-Functional Collaboration: Partner with data scientists, security experts, and UX designers to ensure seamless integration of AI features.
- Future Tech Integration: Research and prototype integration points for emerging technologies such as neuromorphic computing.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field. 7+ years of professional experience.
- Core Tech Stack: Proficiency in Python, TensorFlow, PyTorch, and modern cloud infrastructure (AWS, GCP, or Azure).
- System Design: Deep understanding of distributed systems, API design, and database management (SQL/NoSQL).
- AI Specialization: Proven experience building or deploying Generative AI models or Autonomous Systems.
- Leadership: Demonstrated ability to lead engineering teams and drive technical strategy.
- Communication: Exceptional verbal and written communication skills, capable of explaining complex concepts to non-technical stakeholders.