Job Description
We are looking for a visionary Senior AI Architect to lead our 2026 technology roadmap. At Nexus Horizon, we are building the infrastructure for the next generation of generative AI and autonomous systems. You will be responsible for designing scalable, secure, and high-performance AI architectures that define the future of our industry.
Why Join Us?
- Work at the cutting edge of technology.
- Competitive compensation and equity packages.
- Flexible remote-first culture with premium benefits.
Key Responsibilities:
- Architect and deploy end-to-end AI solutions for enterprise-scale applications.
- Lead research initiatives to integrate emerging technologies (e.g., LLMs, Quantum Computing) into our product roadmap.
- Optimize model training pipelines and reduce inference latency by 40%.
- Mentor junior engineers and foster a culture of technical excellence.
- Collaborate with product managers to define technical requirements and feasibility studies.
Qualifications:
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 7+ years of experience in software engineering and machine learning.
- Deep expertise in Python, PyTorch, TensorFlow, and GPU computing.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP), and MLOps.
- Proven track record of shipping production-grade AI products.
Join us in shaping the future of AI in 2026.
Responsibilities
- Architect and deploy end-to-end AI solutions for enterprise-scale applications.
- Lead research initiatives to integrate emerging technologies (e.g., LLMs, Quantum Computing) into our product roadmap.
- Optimize model training pipelines and reduce inference latency by 40%.
- Mentor junior engineers and foster a culture of technical excellence.
- Collaborate with product managers to define technical requirements and feasibility studies.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 7+ years of experience in software engineering and machine learning.
- Deep expertise in Python, PyTorch, TensorFlow, and GPU computing.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP), and MLOps.
- Proven track record of shipping production-grade AI products.