Job Description
Join the Vanguard of Technological Evolution.
Apex Systems is seeking a visionary Senior AI Architect to lead our groundbreaking Project 2026. This is not just a job; it is an opportunity to define the future of autonomous systems and next-generation predictive analytics. You will work at the intersection of quantum computing concepts and deep learning to build scalable infrastructure for a world-class platform.
Why Project 2026?
We are building the operating system for the 2026 era of computing. Our mission is to create AI solutions that are not only efficient but also ethically aligned and capable of solving complex global challenges. You will have the autonomy to innovate, the resources to experiment, and the impact to change industries.
Responsibilities
- Architect and deploy scalable deep learning models for Project 2026, focusing on neural networks and reinforcement learning.
- Lead the technical strategy for integrating quantum algorithms with classical machine learning pipelines.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Collaborate with cross-functional teams including product managers, security experts, and UX designers to define technical requirements.
- Optimize model performance for low-latency, high-throughput environments in real-time applications.
- Conduct rigorous testing and validation to ensure the robustness and safety of AI deployments.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years specializing in Artificial Intelligence and Machine Learning.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Apache Spark, Kubernetes).
- Experience with quantum computing libraries (e.g., Qiskit, Cirq) is a significant plus.
- Strong background in data structures, algorithms, and system design.
- Proven track record of leading engineering teams and delivering complex projects on time.
- Master’s degree in Computer Science, Mathematics, or a related field.