Job Description
Shape the Future of Intelligence
We are looking for a visionary Senior AI Architect to join Nexus Horizon Systems. As we gear up for the technological paradigm shift of 2026, we need a leader who can design scalable, robust, and ethical artificial intelligence systems that redefine human-machine interaction. This is not just a job; it is an opportunity to architect the foundation of tomorrow’s digital landscape.
Why Join Nexus Horizon?
- Impactful Work: Your code will power next-generation neural networks used by millions.
- Future-Proof Career: Work on cutting-edge projects specifically scoped for the 2026 rollout.
- Premium Compensation: Competitive salary and equity package in the heart of Silicon Valley.
Responsibilities
- Design and implement scalable machine learning pipelines and deep learning architectures for the 2026 roadmap.
- Lead the technical strategy for AI model deployment, ensuring high availability and low latency.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to drive innovation.
- Mentor junior engineers, fostering a culture of technical excellence and continuous learning.
- Evaluate emerging AI frameworks and technologies to keep our stack at the forefront of the industry.
- Ensure data privacy, security, and ethical compliance in all AI model development.
Qualifications
- Master’s degree or PhD in Computer Science, Mathematics, or a related field.
- Minimum of 7 years of professional experience in AI/ML engineering, with a strong portfolio of deployed models.
- Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
- Deep understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Proven track record of leading large-scale technical projects and mentoring engineering teams.
- Experience with NLP, Computer Vision, or Reinforcement Learning is highly preferred.
Skills
Python, PyTorch, TensorFlow, Machine Learning, Deep Learning, Cloud Computing, Distributed Systems, Docker, Kubernetes, AWS, NLP, Computer Vision, Leadership
Responsibilities
- Design and implement scalable machine learning pipelines and deep learning architectures for the 2026 roadmap.
- Lead the technical strategy for AI model deployment, ensuring high availability and low latency.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to drive innovation.
- Mentor junior engineers, fostering a culture of technical excellence and continuous learning.
- Evaluate emerging AI frameworks and technologies to keep our stack at the forefront of the industry.
- Ensure data privacy, security, and ethical compliance in all AI model development.
Qualifications
- Master’s degree or PhD in Computer Science, Mathematics, or a related field.
- Minimum of 7 years of professional experience in AI/ML engineering, with a strong portfolio of deployed models.
- Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
- Deep understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Proven track record of leading large-scale technical projects and mentoring engineering teams.
- Experience with NLP, Computer Vision, or Reinforcement Learning is highly preferred.