Job Description
Welcome to the vanguard of technological evolution. Nexus Horizon Labs is pioneering the Project 2026 initiative, a massive undertaking to redefine human-machine symbiosis through next-generation AI infrastructure. We are seeking a visionary Senior AI Architect to lead the architectural design of our core neural networks and scalable cloud ecosystems.
In this role, you will not just write code; you will architect the future. You will bridge the gap between theoretical AI breakthroughs and production-grade systems, ensuring our platforms are robust, scalable, and secure for the demands of 2026 and beyond.
Why Join Us?
- Work on breakthrough technology that will define the next decade.
- Competitive compensation package including equity.
- Flexible remote-first culture with state-of-the-art hubs.
Key Responsibilities
Responsibilities
- Design and implement scalable microservices architectures to support high-volume AI inference and training workloads.
- Lead the integration of Generative AI models into enterprise-grade products, ensuring optimal performance and low latency.
- Define technical standards and best practices for the Project 2026 infrastructure stack.
- Collaborate with cross-functional teams of data scientists, security experts, and product managers to translate business needs into technical solutions.
- Conduct rigorous code reviews and architecture reviews to maintain high system integrity.
- Drive cloud optimization strategies to reduce infrastructure costs while increasing throughput.
Qualifications
Qualifications
- 10+ years of experience in software engineering and system architecture, with a focus on AI/ML platforms.
- Deep expertise in Python, C++, and modern JavaScript frameworks (Node.js, TypeScript).
- Proven experience designing and managing large-scale distributed systems on AWS, Azure, or GCP.
- Strong understanding of MLOps, containerization (Docker, Kubernetes), and CI/CD pipelines.
- Experience with large language models (LLMs), vector databases, and transformer architectures.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Master’s degree in Computer Science, Engineering, or a related technical field is preferred.