Job Description
We are seeking a visionary Future-Ready AI Architect to spearhead the technological trajectory of Nexus Horizon. As we look toward 2026, the landscape of artificial intelligence is shifting from simple automation to sentient, ethical, and predictive intelligence. Your role will be to architect the infrastructure that supports this evolution, ensuring our solutions are scalable, robust, and ahead of the curve.
In this high-impact role, you will bridge the gap between theoretical machine learning breakthroughs and practical, real-world application. You will work with cross-functional teams to define the technical roadmap for the next generation of our products, focusing on agentic workflows and autonomous systems.
Why Join Us?
- Shape the future of technology in a company that values innovation over convention.
- Work with cutting-edge hardware and software stacks.
- Competitive equity package and comprehensive benefits.
Responsibilities
- Design and implement scalable neural network architectures for 2026-era predictive models.
- Lead the technical strategy for integrating Generative AI into core business operations.
- Ensure data integrity and ethical AI compliance across all proprietary systems.
- Optimize deep learning pipelines for low-latency, high-throughput environments.
- Collaborate with product leaders to translate complex AI capabilities into user-centric features.
- Mentor junior engineers and foster a culture of continuous learning and technical excellence.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, AWS).
- Strong understanding of Large Language Models (LLMs) and reinforcement learning.
- Proven track record of shipping production-grade machine learning systems.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Master’s degree in Computer Science, Mathematics, or a related technical field (PhD preferred).