Job Description
Are you ready to architect the future of intelligent systems? Nexus Horizons is seeking a visionary Senior AI Systems Architect to lead our R&D initiatives aimed at defining the technological landscape of 2026 and beyond.
In this role, you won't just write code; you will design the neural infrastructure that powers the next generation of autonomous agents and cognitive computing platforms. We are looking for a leader who thrives in ambiguity and has a passion for ethical AI development.
Why join us? We are a forward-thinking collective of engineers, ethicists, and futurists dedicated to solving humanity's complex challenges through advanced technology. You will have the autonomy to experiment, the resources to build, and the impact to change the world.
Responsibilities
- Design and implement scalable AI architectures capable of handling multi-modal data streams in real-time.
- Lead the research and development of cutting-edge Machine Learning models, pushing the boundaries of Generative AI.
- Collaborate with cross-functional engineering teams to integrate AI solutions into enterprise-grade products.
- Establish best practices for AI governance, ensuring fairness, transparency, and safety in all algorithmic outputs.
- Oversee the deployment of cloud-native AI infrastructures using Kubernetes and serverless technologies.
- Mentor junior engineers and data scientists, fostering a culture of continuous innovation.
- Stay ahead of industry trends, evaluating emerging technologies like Neuromorphic computing for future integration.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 7+ years of experience designing and deploying large-scale machine learning systems in production environments.
- Proficiency in Python, PyTorch, TensorFlow, and modern cloud platforms (AWS, GCP, Azure).
- Deep understanding of MLOps, data pipelines, and model versioning strategies.
- Strong background in Natural Language Processing (NLP) and Computer Vision.
- Experience with ethical AI frameworks and regulatory compliance standards.
- Excellent leadership skills with the ability to drive technical strategy across distributed teams.