Job Description
We are at the forefront of the 2026 technology revolution. Apex Horizon Systems is seeking a visionary Future-Ready AI Architect to lead our next-generation infrastructure projects. If you are passionate about pushing the boundaries of what's possible in Generative AI, Quantum-Ready models, and scalable neural networks, this is your opportunity to define the roadmap for the next decade.
In this role, you won't just maintain legacy systems; you will architect the foundation for a smarter, autonomous future. You will collaborate with top-tier engineers to deploy cutting-edge solutions that solve complex global challenges. Join us in building the technology stack of 2026 and beyond.
Responsibilities
- Architect and deploy next-generation AI models designed for the 2026 landscape, focusing on efficiency and scalability.
- Lead the migration of legacy infrastructure to future-proof cloud-native environments.
- Collaborate with cross-functional teams to integrate AI capabilities into core product ecosystems.
- Optimize neural network performance for edge computing and real-time processing.
- Mentor junior engineers and define technical best practices for the future.
- Research emerging technologies, including LLMs and autonomous agents, to stay ahead of the curve.
- Ensure data security and ethical AI governance across all deployments.
Qualifications
- Master’s degree in Computer Science, Artificial Intelligence, or a related field; PhD preferred.
- 8+ years of experience in AI/ML engineering, with at least 3 years in a lead or architect role.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Proven track record of deploying production-grade machine learning systems.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Strong understanding of prompt engineering and large language model fine-tuning.
- Familiarity with quantum computing concepts and future tech stacks is a significant plus.