Job Description
We are on the precipice of a technological singularity, and Nexus Horizon Labs is leading the charge into 2026. We are seeking a visionary Lead 2026 Gen-AI Systems Architect to design the foundational infrastructure for the next generation of artificial intelligence. If you are obsessed with scalability, neural networks, and the future of human-machine interfaces, this is your moment to define the architecture of tomorrow.
In this role, you won't just write code; you will architect the nervous system of our future products. You will bridge the gap between theoretical AI research and production-grade engineering, ensuring our systems are robust, ethical, and infinitely scalable.
Why Join Us?
- Shape the Future: Work on cutting-edge projects that will define the landscape of AI for the next decade.
- World-Class Team: Collaborate with PhDs, researchers, and industry veterans.
- Competitive Compensation: Top-tier salary and equity package.
Responsibilities
- Architect Next-Gen Neural Architectures: Design and implement scalable infrastructure for large language models and generative adversarial networks.
- System Optimization: Oversee the deployment of high-performance computing clusters to ensure low latency and high throughput.
- Roadmap Leadership: Define the technical roadmap for the 2026 AI evolution, identifying emerging technologies like Quantum-Augmented ML.
- Code Review & Mentorship: Lead a team of elite engineers, conducting rigorous code reviews and fostering a culture of technical excellence.
- Model Governance: Establish protocols for model bias, safety, and explainability in production environments.
- Cross-Functional Collaboration: Partner with product and design teams to translate complex AI capabilities into user-centric experiences.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
- Experience: 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
- Cloud Mastery: Proven experience architecting solutions on AWS, GCP, or Azure with a focus on Kubernetes and serverless architecture.
- Futuristic Thinking: Demonstrated ability to anticipate technological trends and apply them to solve complex engineering problems.
- Leadership: Track record of managing high-performing engineering teams and delivering complex projects on time.