Job Description
Are you ready to architect the future of intelligence? Nexus Horizon Tech is seeking a visionary Senior AI Architect to lead our cutting-edge initiatives for the year 2026 and beyond. We are not just predicting the future; we are building it.
In this pivotal role, you will define the technical roadmap for next-generation Artificial Intelligence systems, ensuring scalability, ethical integrity, and breakthrough performance. You will work at the intersection of machine learning research and production engineering, collaborating with world-class engineers to solve the complex problems that will define the technology landscape of the future.
Why Join Us?
- Work on high-impact projects that shape the trajectory of AI.
- Competitive compensation package with equity options.
- Flexible remote-first culture with state-of-the-art equipment.
- Opportunity to mentor the next generation of AI talent.
Responsibilities
- Design and architect scalable, robust AI infrastructure capable of supporting multi-modal models and real-time inference.
- Lead research and development efforts for proprietary algorithms targeting breakthroughs in Large Language Models (LLMs) and generative AI.
- Collaborate with cross-functional teams (Product, Data Science, Engineering) to translate complex business requirements into technical AI solutions.
- Establish best practices for data privacy, security, and ethical AI usage, ensuring compliance with global regulations.
- Define the long-term technical vision and roadmap for AI capabilities, specifically focusing on 2026 strategic goals.
- Optimize model performance, reducing latency and improving accuracy in production environments.
- Conduct technical reviews and mentor junior architects and data scientists.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- 8+ years of professional experience in software engineering, with at least 4 years specifically in AI/ML architecture.
- Deep expertise in Deep Learning frameworks such as PyTorch, TensorFlow, or JAX.
- Proven track record of deploying large-scale machine learning models into production.
- Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and MLOps pipelines.
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Passion for the future of technology and a forward-thinking mindset aligned with the 2026 vision.