Job Description
The Future is Now. Nexus Horizon Systems is pioneering the next generation of intelligent infrastructure. We are seeking a visionary AI & Machine Learning Architect 2026 to lead our initiative in developing autonomous, scalable, and ethically-aligned AI ecosystems. If you are obsessed with pushing the boundaries of what is possible in artificial intelligence and are looking for a role that defines the technology of tomorrow, we want to meet you.
Why Join Us?
- Impact: Architect the core intelligence behind products used by millions.
- Autonomy: Work in a remote-first culture with high autonomy.
- Growth: Competitive equity package and continuous learning budget.
We are looking for a technical leader who doesn't just write code, but designs the very fabric of future computing.
Responsibilities
- Architect Next-Gen AI: Design and implement scalable machine learning infrastructure and deep learning models tailored for 2026-era computational demands.
- Model Optimization: Lead research into efficient neural network architectures and edge computing deployment strategies.
- Ethical AI Governance: Establish frameworks for bias detection, transparency, and safety in automated decision-making systems.
- System Integration: Integrate disparate AI modules into cohesive, real-time data pipelines using modern cloud-native technologies.
- Team Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.
Qualifications
- Experience: 7+ years of experience in software engineering, with at least 3 years in specialized AI/ML architecture roles.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed systems (Kubernetes, Docker).
- Education: BS in Computer Science, Mathematics, or a related technical field (Masterβs preferred).
- Problem Solving: Proven track record of solving complex, unstructured problems in large-scale environments.
- Leadership: Demonstrated ability to lead cross-functional teams and manage technical roadmaps.