Job Description
Are you ready to define the technological landscape of 2026? Apex Horizon AI is seeking a visionary Senior AI Architect to lead our R&D division in building the autonomous systems of tomorrow.
We are not just building software; we are engineering the future. In this pivotal role, you will spearhead the architecture of next-generation machine learning models designed to scale for global deployment. You will work at the intersection of deep learning, robotics, and predictive analytics, ensuring our infrastructure is robust, scalable, and ahead of the curve.
Why Join Us?
We offer a competitive compensation package, equity opportunities, and the chance to work on projects that will define the industry standard for the upcoming decade.
Responsibilities
- Architectural Leadership: Design and implement scalable AI infrastructure and deep learning frameworks tailored for 2026 technological standards.
- R&D Innovation: Lead research initiatives into cutting-edge areas such as Generative Adversarial Networks (GANs) and Reinforcement Learning.
- System Optimization: Oversee the end-to-end lifecycle of AI models, from data ingestion to model deployment and continuous learning.
- Cross-Functional Collaboration: Partner with product managers, engineers, and data scientists to translate complex business requirements into technical blueprints.
- Performance Tuning: Drive efficiency improvements in training pipelines and inference systems to reduce latency and resource consumption.
- Talent Mentorship: Mentor junior engineers and foster a culture of technical excellence and innovation within the engineering team.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field.
- Experience: 8+ years of professional experience in software engineering and machine learning, with at least 3 years in a leadership or architectural capacity.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and C++. Experience with cloud platforms (AWS, GCP, or Azure) is required.
- Algorithm Mastery: Deep understanding of statistical modeling, natural language processing (NLP), and computer vision.
- Problem Solving: Demonstrated ability to solve complex, unstructured problems with innovative technical solutions.
- Communication: Excellent verbal and written communication skills, with the ability to present technical concepts to non-technical stakeholders.