Job Description
Are you ready to architect the future of technology?
Nexus Horizon Systems is seeking a visionary Senior AI Architect to lead our 2026 Strategic Roadmap. We are not just building software; we are engineering the foundational layers of the next decade. In this pivotal role, you will bridge the gap between theoretical breakthroughs and scalable production systems, pushing the boundaries of Generative AI and Quantum-Ready Neural Networks.
Join a world-class team dedicated to solving humanity's most complex challenges through advanced intelligence. You will define the architecture standards that will power our ecosystem for years to come.
Why Join Us?
- Impactful Work: Directly influence the core infrastructure that will define the industry standard for 2026 and beyond.
- Autonomy: Work in a culture of high trust and technical excellence with minimal micromanagement.
- Equity Package: Competitive stock options reflecting our commitment to long-term growth.
If you are a technical leader who thrives on ambiguity and innovation, we want to hear from you.
Responsibilities
- Architect 2026 Roadmap: Design and implement the core AI infrastructure roadmap, ensuring scalability and resilience for next-generation applications.
- Model Optimization: Lead the research and deployment of advanced Large Language Models (LLMs) and transformer architectures, optimizing for latency and accuracy.
- System Integration: Integrate disparate data silos into a unified, real-time neural processing network across global data centers.
- Technical Mentorship: Mentor a team of junior engineers and data scientists, fostering a culture of continuous learning and architectural excellence.
- R&D Collaboration: Partner with quantum computing researchers to develop hybrid classical-quantum algorithms for enterprise solutions.
- Security & Ethics: Implement rigorous guardrails for AI safety, ensuring compliance with emerging global regulations and ethical standards.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically focused on AI/ML architecture.
- Core Skills: Proficiency in Python, C++, and Rust; deep understanding of PyTorch, TensorFlow, or JAX.
- System Design: Proven track record of designing distributed systems that handle millions of concurrent requests.
- Future-Proofing: Demonstrated ability to anticipate technological trends and adapt architecture to meet future requirements (2026 horizon).
- Leadership: Experience leading cross-functional teams in a fast-paced, agile environment.