Job Description
We are seeking a visionary Lead AI Architect to define the technological trajectory of 2026. At Nexus Horizon Labs, we are building the next generation of autonomous systems, integrating generative AI with post-quantum security protocols.
In this role, you will not just write code; you will shape the ethical and structural foundations of the future digital world. You will lead a team of elite engineers in deploying scalable, energy-efficient neural networks that redefine human-computer interaction.
Core Responsibilities:
- Architect and deploy scalable AI systems with a focus on post-quantum resilience.
- Lead the research and integration of Generative Adversarial Networks (GANs) for advanced simulation.
- Establish architectural standards for microservices and containerized environments.
- Mentor senior and junior developers to foster a culture of innovation and technical excellence.
- Collaborate with product leaders to translate futuristic concepts into tangible roadmaps.
- Optimize inference latency and reduce energy consumption in large-scale data centers.
If you are ready to pioneer the future of technology, apply today.
Responsibilities
- Design high-level system architectures for autonomous AI agents and generative models.
- Lead the integration of post-quantum cryptography into existing neural network frameworks.
- Collaborate with cross-functional teams to define product requirements for the 2026 roadmap.
- Mentor junior engineers and architects, fostering a culture of innovation.
- Optimize computational efficiency and reduce energy consumption in training clusters.
- Establish best practices for ethical AI governance and bias mitigation.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Master’s degree in Computer Science, Mathematics, or a related technical field.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
- Experience with quantum computing frameworks or post-quantum cryptographic standards.
- Proven track record of leading high-performance engineering teams.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure).