Job Description
We are seeking a visionary 2026 AI Strategy Lead to architect the next generation of generative intelligence. As we approach the pivotal year of 2026, Nexus Horizon is building the infrastructure that will define the future of human-AI collaboration. You will be at the helm of a high-performance team, translating complex long-term roadmaps into scalable, cutting-edge technical solutions.
In this role, you won't just write code; you will define the trajectory of artificial intelligence for the next decade. You will bridge the gap between theoretical research and production-grade deployment, ensuring our systems are robust, ethical, and ready to scale.
Why Join Us?
• Impactful Work: Directly influence the roadmap for the '2026' initiative, a multi-billion dollar project.
• Top-Tier Team: Collaborate with Ph.D. researchers and industry veterans.
• Future-Proof: Work in an environment that values long-term vision over short-term fixes.
Responsibilities
- Lead the '2026' Technical Roadmap: Define and execute the architectural vision for the upcoming 2026 generative AI deployment cycle.
- System Architecture: Design scalable, fault-tolerant neural network architectures that can handle exascale data processing.
- Model Optimization: Oversee the fine-tuning and optimization of Large Language Models (LLMs) for specific enterprise use cases.
- Team Leadership: Mentor senior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Stakeholder Communication: Translate complex technical milestones into clear business value for executives and product managers.
- Research Integration: Evaluate and integrate the latest breakthroughs in computer vision and natural language processing.
Qualifications
- Experience: 8+ years of experience in software engineering, with at least 4 years in Machine Learning infrastructure or AI system architecture.
- Education: Master’s degree or PhD in Computer Science, Physics, or a related technical field.
- Technical Skills: Proficiency in Python, C++, and distributed systems (Kubernetes, Docker, AWS/GCP).
- AI Expertise: Deep understanding of Transformer models, Reinforcement Learning, and Deep Learning frameworks (PyTorch, TensorFlow).
- Strategic Thinking: Proven track record of leading cross-functional teams through complex technical transitions.
- Problem Solving: Exceptional ability to troubleshoot high-stakes, large-scale system failures.