Job Description
Join Nexus Horizon Labs, a pioneer in next-generation artificial intelligence, as we architect the core infrastructure for the year 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our R&D division in developing scalable, ethical, and transformative AI systems that will define the future of human-computer interaction.
In this role, you will bridge the gap between theoretical AI breakthroughs and practical, high-impact engineering solutions. You will be working in a cutting-edge environment where your code directly influences the trajectory of global technology.
Why Join Us?
- Future-Proofing: Work on the foundational technologies for 2026 and the decades that follow.
- Elite Team: Collaborate with world-class researchers and engineers from top tech institutions.
- Impact: Your work will directly impact millions of users worldwide.
Responsibilities
- Architect and design scalable machine learning pipelines and neural network infrastructures optimized for 2026 workloads.
- Lead the research and implementation of advanced AI models, focusing on generative capabilities and ethical AI alignment.
- Define technical roadmaps for the AI department, ensuring alignment with long-term strategic vision.
- Mentor junior architects and data scientists, fostering a culture of continuous learning and innovation.
- Collaborate with product management to translate complex AI capabilities into user-centric features.
- Ensure system reliability, security, and performance compliance with industry standards.
Qualifications
- 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.
- Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Proven track record of deploying large-scale AI models into production environments.
- Experience with ethical AI frameworks and bias mitigation strategies.
- Master's degree or PhD in Computer Science, Artificial Intelligence, or a related field is highly preferred.