Job Description
We are not just building software for today; we are engineering the reality of 2026. At Apex Horizon, we are at the forefront of Artificial General Intelligence and the next evolution of human-machine symbiosis. We are seeking a visionary Senior AI Architect to lead the design and implementation of our flagship neural infrastructure.
In this role, you won't just write code; you will define the architectural standards that will power the digital economy of the next decade. You will work with a world-class team of researchers and engineers to solve unsolvable problems today.
Why join us?
- Work on cutting-edge projects that define the future of technology.
- Competitive compensation package with equity opportunities.
- Flexible work environment with a focus on innovation and autonomy.
- Access to the latest hardware and research tools.
Responsibilities
- Architect Scalable Neural Systems: Design and build robust, scalable machine learning pipelines capable of processing petabytes of data in real-time.
- Pioneer Next-Gen Algorithms: Research and implement novel deep learning architectures that push the boundaries of current AI capabilities.
- Lead Technical Strategy: Define the technical roadmap for AI integration, ensuring alignment with the company's 2026 vision.
- Ethical AI Governance: Establish frameworks and guidelines to ensure AI deployment is fair, transparent, and safe.
- Cross-Functional Collaboration: Partner with product and engineering teams to translate complex AI models into user-centric applications.
- Mentorship: Guide and mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field.
- Experience: 5+ years of professional experience in AI/ML engineering, with a focus on deep learning and large language models.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (e.g., Apache Spark, Kubernetes).
- Domain Knowledge: Strong understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Problem Solving: Demonstrated ability to tackle ambiguous problems and deliver innovative solutions under tight deadlines.
- Communication: Exceptional verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.