Job Description
We are at the precipice of a technological singularity. At Apex Horizon Labs, we are not just building software for 2026; we are architecting the intelligence that will define it. We are seeking a visionary Lead AI Systems Architect to spearhead the development of our next-generation Generative AI infrastructure.
In this pivotal role, you will bridge the gap between theoretical AI research and scalable, production-grade engineering. You will lead a world-class team in designing neural architectures that push the boundaries of human-computer interaction. If you are obsessed with the future of AGI and possess the technical grit to build it, we want to hear from you.
Why Join Us?
- Work on mission-critical projects that shape the trajectory of artificial general intelligence.
- Competitive compensation package with equity options.
- Flexible remote-first culture with quarterly innovation retreats.
Responsibilities
- Architect Neural Frameworks: Design and implement high-performance neural network architectures optimized for large-scale language and multimodal models.
- System Optimization: Oversee the optimization of model inference latency and throughput, ensuring 99.99% uptime for core services.
- R&D Leadership: Conduct cutting-edge research into emerging AI paradigms, including reinforcement learning, transformers, and ethical AI alignment.
- Technical Strategy: Define the technical roadmap for AI infrastructure, ensuring scalability, security, and compliance with global regulations.
- Team Mentorship: Mentor junior and senior engineers, fostering a culture of continuous learning and technical excellence.
- Collaboration: Partner with product and engineering teams to translate complex AI capabilities into user-friendly applications.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 8+ years of experience in software engineering with a focus on AI/ML systems architecture.
- Technical Skills: Deep expertise in Python, C++, and experience with major deep learning frameworks (TensorFlow, PyTorch, JAX).
- Knowledge: Proven track record of deploying large-scale ML models in production environments.
- Soft Skills: Exceptional problem-solving abilities and the ability to communicate complex technical concepts to non-technical stakeholders.
- Passion: A strong passion for the future of technology and a deep understanding of AI ethics and bias mitigation.