Job Description
Are you ready to define the future of technology? Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead the development of the infrastructure powering the 2026 AI landscape. In this pivotal role, you will bridge the gap between cutting-edge theoretical AI breakthroughs and scalable, production-grade systems. We are looking for a leader who can architect the neural networks of tomorrow and ensure our platforms remain at the forefront of the synthetic intelligence revolution.
Why Join Us?
We are building the foundational layer for the next generation of human-computer interaction. As we approach the 2026 era of AI, your work will directly impact how billions of users interact with intelligent systems. You will have the autonomy to experiment with emerging technologies, mentor a world-class team of engineers, and shape the architectural standards of the industry.
Responsibilities
- Architect and deploy large-scale generative AI models tailored for 2026 enterprise needs and next-gen consumer applications.
- Lead the design and implementation of distributed computing frameworks and quantum-ready neural network architectures.
- Optimize model inference latency and resource efficiency to handle petabytes of real-time data.
- Define architectural standards for ethical AI, data governance, and scalable machine learning pipelines.
- Collaborate with cross-functional product teams to integrate advanced LLMs and autonomous agents into core products.
- Conduct deep-dive research into emerging paradigms such as neuro-symbolic AI and reinforcement learning.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
- 7+ years of experience in software engineering with a specific focus on AI/ML system architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed systems (Kubernetes, AWS, GCP).
- Proven track record of deploying ML models that handle high-volume, low-latency data streams.
- Strong understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Experience leading engineering teams and mentoring senior developers in a fast-paced startup environment.