Job Description
Are you ready to architect the future? Nexus Horizon is seeking a visionary Lead AI Architect to spearhead the development of next-generation predictive models and autonomous systems. In this pivotal role, you will define the technical strategy for our 2026 roadmap, building scalable infrastructure that solves complex problems in real-time.
We are looking for a thought leader who thrives in ambiguity and possesses a deep understanding of machine learning, distributed systems, and neural networks. If you are passionate about pushing the boundaries of what is possible in Artificial Intelligence, join us in shaping the digital frontier.
Why Join Nexus Horizon?
- Work on cutting-edge projects that define the industry standard for 2026.
- Competitive compensation package with equity options.
- Flexible remote-first culture with state-of-the-art office amenities.
Responsibilities
- Architect and deploy high-performance AI infrastructure capable of processing petabytes of data in real-time.
- Design and implement proprietary algorithms to enhance our core product capabilities.
- Lead a cross-functional team of data scientists, ML engineers, and software developers.
- Establish best practices for model training, validation, and deployment (MLOps).
- Conduct code reviews and provide technical mentorship to junior staff members.
- Collaborate with product stakeholders to translate business requirements into technical solutions.
- Stay ahead of industry trends to ensure our technology stack remains future-proof.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years in a lead or architect role.
- Deep expertise in Python, TensorFlow, PyTorch, or similar machine learning frameworks.
- Proven experience designing scalable distributed systems (e.g., Kubernetes, AWS, GCP).
- Strong understanding of neural networks, deep learning, and natural language processing.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Experience with Agile/Scrum methodologies and CI/CD pipelines.