Job Description
We are building the foundation for the technological landscape of 2026 and beyond. Nexus Horizon Labs is seeking a visionary Senior AI Systems Architect to lead our R&D division in designing next-generation neural architectures and quantum-ready algorithms. This is not just a job; it is a mission to define the future of human-computer interaction.
As a key member of our elite engineering team, you will bridge the gap between theoretical AI research and scalable production systems. You will work with cutting-edge hardware and software stacks to solve complex problems that define the 2026 tech ecosystem.
Why Join Us?
- Impactful Work: Directly influence the roadmap of AI infrastructure for the next decade.
- Top-Tier Talent: Collaborate with industry leaders in Quantum Computing and Deep Learning.
- Future-Proof: Work on technologies that are currently shaping the 2026 horizon.
Responsibilities
- Design and architect scalable, fault-tolerant AI systems capable of handling petabyte-scale data streams.
- Lead the research and development of novel machine learning models tailored for edge computing environments.
- Define technical roadmaps for the 2026 AI infrastructure evolution.
- Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
- Mentor junior engineers and conduct technical workshops on advanced AI methodologies.
- Ensure system security, efficiency, and compliance with global data regulations.
Qualifications
- Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field (or equivalent extensive experience).
- 10+ years of professional experience in software engineering, with at least 5 years specializing in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
- Experience with quantum computing libraries (Qiskit, Cirq) is a strong plus.
- Proven track record of deploying large-scale machine learning models into production environments.
- Strong communication skills with the ability to translate complex technical concepts for non-technical stakeholders.