Job Description
Are you ready to define the future of intelligence?
Nexus Core Systems is seeking a visionary Senior AI Architect (2026 Horizon) to lead our groundbreaking research into post-silicon computing and neural interface design. In this pivotal role, you won't just manage AI models—you will architect the fundamental infrastructure required for next-generation human-machine symbiosis.
We are looking for a thought leader who understands the trajectory of Generative AI and is prepared to build the systems that will define the decade ahead. Join a team of elite engineers and researchers pushing the boundaries of what is possible in 2026 and beyond.
Responsibilities
- Architect Next-Gen Neural Networks: Design and implement scalable, fault-tolerant architectures for large-scale generative models and autonomous agents.
- Pilot Quantum-Enhanced AI: Collaborate with quantum computing research teams to integrate quantum algorithms into classical machine learning pipelines.
- Lead R&D Strategy: Define the technical roadmap for our AI infrastructure, ensuring alignment with 2026 technological standards.
- Optimize Performance: Drive optimization efforts to reduce inference latency and improve energy efficiency for edge deployments.
- Ensure Ethical Integrity: Establish governance frameworks for AI safety, bias mitigation, and transparent decision-making processes.
- Mentor Future Leaders: Conduct technical workshops and mentor a team of junior data scientists and AI engineers.
Qualifications
- Advanced Education: PhD or Master’s degree in Computer Science, Computational Neuroscience, or a related field.
- Deep Learning Expertise: Extensive experience with PyTorch, TensorFlow, or JAX, with a portfolio of published research papers.
- System Design: Proven track record of designing high-throughput, low-latency distributed systems at scale.
- Future-Ready Skills: Familiarity with emerging paradigms such as Spiking Neural Networks (SNNs) or Neuromorphic hardware.
- Leadership Experience: Minimum of 7+ years of experience in software engineering or AI research, including team management experience.
- Communication: Exceptional ability to translate complex technical concepts for non-technical stakeholders and investors.