Job Description
Welcome to Nexus Horizon Solutions. We are at the forefront of tomorrow's technology today. As we prepare to launch our groundbreaking Project 2026, we are seeking a visionary Senior AI Architect to design the infrastructure that will define the next era of artificial intelligence.
In this pivotal role, you will not just build software; you will architect the future. You will lead a high-performance team in developing scalable, autonomous systems capable of operating in complex, dynamic environments. If you are passionate about pushing the boundaries of what is possible and want to leave a lasting legacy in the tech landscape, we want to hear from you.
Why join Nexus Horizon?
- Work on mission-critical projects with a global impact.
- Competitive compensation and equity packages.
- Flexible remote-first culture with state-of-the-art equipment.
- Continuous learning opportunities and leadership pathways.
Join us in building the future of technology for the year 2026 and beyond.
Responsibilities
- Design and implement scalable, high-performance AI and machine learning infrastructure for Project 2026.
- Lead architectural decisions to ensure system reliability, security, and future-proof scalability.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers.
- Establish best practices for MLOps, model deployment, and continuous integration/continuous deployment (CI/CD).
- Mentor junior architects and engineers, fostering a culture of technical excellence and innovation.
- Conduct technical due diligence on emerging AI technologies and integrate them into our roadmap.
Qualifications
- Master’s or Ph.D. in Computer Science, AI, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
- Proven experience designing distributed systems and cloud-native architectures (AWS, GCP, or Azure).
- Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.