Job Description
We are seeking a visionary Futurist AI Systems Architect to lead the technological infrastructure for our upcoming 2026 projects. At Apex Horizon Systems, we are not just building software; we are architecting the foundational layers of a decentralized, autonomous future. You will be at the forefront of integrating Generative AI with next-gen Edge Computing, ensuring our systems are resilient, scalable, and prepared for the quantum leap in computing.
Why join us?
- Work on cutting-edge technology that defines the roadmap for 2026.
- Competitive compensation package with performance bonuses.
- Flexible remote-first hybrid policy in the heart of San Francisco.
If you have a passion for pushing the boundaries of what is possible in artificial intelligence and systems engineering, we want to hear from you.
Responsibilities
- Design Scalable Neural Architectures: Architect and deploy large-scale machine learning models that can handle petabyte-scale data streams with zero latency.
- Future-Proof Infrastructure: Design systems architecture that is compatible with post-quantum cryptography and next-generation hardware accelerators.
- Edge Computing Integration: Optimize AI inference engines for edge devices to ensure real-time decision making in decentralized networks.
- System Reliability Engineering: Implement robust CI/CD pipelines and automated testing frameworks to maintain 99.99% uptime for critical AI services.
- Cross-Functional Leadership: Collaborate with quantum researchers and data scientists to translate theoretical models into production-ready software.
- Security & Compliance: Lead initiatives to secure AI models against adversarial attacks and ensure full compliance with global data sovereignty regulations.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field from a top-tier institution.
- Experience: 5+ years of experience in systems architecture, with at least 2 years specifically focused on AI/ML infrastructure.
- Programming: Expert-level proficiency in Python, Rust, or C++.
- Frameworks: Deep experience with TensorFlow, PyTorch, or JAX, and familiarity with Kubernetes and Docker orchestration.
- Cloud Mastery: Proven track record deploying large-scale solutions on AWS, Azure, or Google Cloud Platform.
- Soft Skills: Exceptional problem-solving abilities and the ability to communicate complex technical concepts to non-technical stakeholders.