Job Description
Are you ready to build the systems of tomorrow, today? Apex Horizon Labs is seeking a visionary Futuristic AI Architect to lead our revolutionary Project 2026. In this role, you will design the neural architectures that will define the next decade of human-computer interaction and autonomous systems.
We are not just looking for a coder; we are looking for a pioneer. You will bridge the gap between theoretical quantum mechanics and practical machine learning applications, ensuring our technology remains at the forefront of the industry.
Why join us?
- Work on cutting-edge projects that redefine the boundaries of technology.
- Competitive compensation package including equity options.
- Flexible remote-first policy with premium Austin offices.
The Role:
As the AI Architect for Project 2026, you will be responsible for the end-to-end lifecycle of our generative AI models and quantum-assisted computing systems. You will collaborate with a world-class team of physicists, data scientists, and engineers to build scalable, secure, and ethical AI solutions.
Responsibilities
- Architect Design: Spearhead the design and implementation of advanced neural networks and quantum computing interfaces.
- Project Roadmap: Define the technical roadmap for Project 2026, ensuring milestones are met with high precision and innovation.
- System Optimization: Oversee the optimization of large-scale data pipelines and model inference to ensure zero-latency performance.
- R&D Leadership: Mentor junior engineers and researchers, fostering a culture of continuous learning and technical excellence.
- Security & Compliance: Implement rigorous security protocols to protect sensitive data and ensure ethical AI practices.
- Stakeholder Communication: Translate complex technical concepts into actionable insights for executive leadership and clients.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Physics, Applied Mathematics, or a related field.
- Experience: 5+ years of professional experience in AI/ML, with a strong focus on Generative AI and Large Language Models (LLMs).
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and familiarity with quantum computing frameworks (Qiskit or Cirq).
- Cloud Infrastructure: Extensive experience deploying models on AWS, Azure, or Google Cloud Platform.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems with innovative technical solutions.
- Communication: Excellent verbal and written communication skills with the ability to present to diverse audiences.