Job Description
Apex Horizon Systems is on a mission to architect the future. We are currently seeking a visionary Principal AI Architect to lead our 2026 Readiness Initiative. You will be at the forefront of defining how artificial intelligence integrates with next-generation infrastructure, focusing on scalability, ethics, and breakthrough performance.
Why This Role Matters
As we approach the 2026 technological horizon, the demand for robust, autonomous AI systems is skyrocketing. In this pivotal role, you will not just build models; you will build the foundational architecture that powers the next era of enterprise intelligence.
What You'll Do
Design and implement scalable ML pipelines for high-volume data processing.
Lead architectural decisions that align with long-term business goals.
Oversee the integration of Generative AI and Large Language Models into core products.
Ensure data security and ethical AI compliance across all projects.
Foster a culture of innovation and technical excellence within the engineering team.
Responsibilities
- Define the end-to-end technical roadmap for AI infrastructure, ensuring readiness for 2026 standards.
- Lead the design and deployment of state-of-the-art neural networks and deep learning models.
- Collaborate with product managers and stakeholders to translate complex AI concepts into actionable solutions.
- Optimize existing systems for performance, latency, and cost-efficiency.
- Mentor senior engineers and conduct code reviews to maintain high engineering standards.
- Research emerging technologies (e.g., Quantum AI, Edge Computing) and evaluate their feasibility for production use.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 10+ years of experience in software engineering and machine learning, with at least 5 years in a leadership or architect role.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Spark).
- Proven experience building and scaling production-grade Generative AI applications.
- Strong understanding of NLP, Computer Vision, and Reinforcement Learning.
- Exceptional communication skills with the ability to influence cross-functional teams.