Job Description
Are you ready to architect the future of intelligence? Nexus Horizon AI is pioneering the technological landscape for the year 2026. We are seeking a visionary Future-Ready AI Solutions Architect to lead our initiative in deploying autonomous, hyper-personalized AI agents across enterprise sectors.
In this role, you will bridge the gap between theoretical AI advancements and scalable, production-grade infrastructure. You will define the architectural standards that will define the next decade of human-computer interaction, ensuring our systems are resilient, ethical, and ready for the quantum leap in processing power.
Why Join Nexus Horizon AI?
- Work on cutting-edge Agentic AI systems.
- Shape the technology stack for the year 2026 and beyond.
- Competitive equity package and comprehensive benefits.
Responsibilities
- System Architecture: Design and implement scalable AI infrastructures capable of handling exabyte-scale data streams and low-latency requirements.
- Strategic Roadmapping: Define the technical roadmap for integrating next-gen LLMs and quantum-ready algorithms into legacy enterprise systems.
- Collaboration: Partner with cross-functional teams of data scientists, researchers, and product managers to translate business goals into technical specifications.
- Optimization: Oversee the continuous improvement of model inference speeds and resource efficiency using Edge Computing and distributed computing principles.
- Mentorship: Guide a team of junior engineers and data scientists on best practices for AI safety, ethics, and system reliability.
Qualifications
- Experience: 10+ years of experience in software architecture, distributed systems, and full-stack development.
- Technical Skills: Deep expertise in Python, Rust, and modern Machine Learning frameworks (PyTorch, TensorFlow).
- AI Mastery: Proven track record of deploying Large Language Models (LLMs) and Generative AI at scale in production environments.
- Infrastructure: Strong understanding of cloud architecture (AWS/GCP), Kubernetes, and 5G/Edge computing protocols.
- Soft Skills: Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.