Job Description
Join the Architects of Tomorrow.
We are pioneering the next generation of intelligence at Nexus Horizon Inc. As we look toward the future of technology in 2026, we are seeking a visionary AI Solutions Architect to design scalable, ethically-aligned, and high-performance AI systems. You will be at the forefront of integrating Generative AI into enterprise infrastructures, defining the standards for the next decade of computing.
In this role, you won't just manage technology; you will define its purpose. You will work with world-class researchers and engineers to build systems that are not only powerful but also responsible and accessible.
Why Join Us?
- Shape the Technical Roadmap for 2026 and beyond.
- Work with state-of-the-art Large Language Models (LLMs) and autonomous agents.
- Competitive compensation and equity package.
- Flexible remote-first culture with access to top-tier tech hubs.
Are you ready to build the brain of the future?
Responsibilities
- Design and architect end-to-end AI pipelines for high-volume enterprise applications, ensuring scalability and fault tolerance.
- Lead the integration of Generative AI and Machine Learning models into core business products, optimizing for latency and cost.
- Define the technical vision for 2026, evaluating emerging technologies like Neuromorphic Computing and Quantum AI suitability.
- Collaborate with cross-functional teams of data scientists, product managers, and security experts to implement Responsible AI governance.
- Mentor senior engineering teams and establish coding standards for AI infrastructure.
- Conduct performance tuning and model optimization to handle billions of daily inference requests.
Qualifications
- 7+ years of experience in software engineering, with at least 3 years specifically focused on AI/ML architecture.
- Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
- Deep understanding of distributed systems, cloud infrastructure (AWS, GCP, or Azure), and containerization (Docker, Kubernetes).
- Proven track record of deploying Large Language Models (LLMs) in production environments.
- Strong grasp of MLOps, CI/CD, and model versioning strategies.
- Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).