Job Description
We are at the precipice of a new technological era. Nexus Horizon is building the operating system for 2026. We are seeking a visionary Next-Gen AI Architect to design, deploy, and govern autonomous agentic AI systems that redefine human-machine collaboration. If you are passionate about the future of intelligence and possess the technical prowess to build scalable, ethical, and robust AI infrastructures, we want to talk to you.
Why Join Us?
- Shape the Future: Work on foundational models that will power industries for the next decade.
- Elite Team: Collaborate with world-class researchers and engineers from top tech firms.
- Competitive Compensation: Comprehensive benefits, equity, and performance bonuses.
Responsibilities
- Architect Autonomous Systems: Design and implement complex, multi-agent AI workflows capable of self-correction and long-horizon planning.
- Model Optimization: Optimize large language models (LLMs) and diffusion models for edge deployment and real-time inference.
- Infrastructure Scaling: Build MLOps pipelines that support high-throughput training and serving of proprietary models.
- Ethical AI Governance: Establish and enforce best practices for bias mitigation, safety, and transparency in AI decision-making.
- R&D Leadership: Stay ahead of the curve on emerging paradigms (e.g., Neuro-symbolic AI, Quantum ML) and integrate relevant advancements.
- Technical Mentorship: Lead a team of talented engineers, fostering a culture of innovation and continuous learning.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 5+ years of experience in building production-grade AI systems; experience with Agentic AI or LLMs is highly preferred.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Ray).
- System Design: Strong understanding of distributed systems, cloud architecture (AWS/GCP), and high-availability systems.
- Soft Skills: Exceptional problem-solving abilities and the ability to communicate complex technical concepts to non-technical stakeholders.
- Innovation: A proven track record of patenting research or publishing in top-tier conferences (NeurIPS, ICML, etc.).