Job Description
Are you ready to define the future of technology?
OmniFuture Corp is a pioneering technology firm at the forefront of the 2026 digital revolution. We are seeking a visionary Senior AI Systems Architect to lead the architectural design of our next-generation predictive intelligence platforms. In this role, you won't just build software; you will architect the infrastructure that powers the autonomous systems of tomorrow.
As we scale towards the Year 2026, we need a technical leader who can bridge the gap between complex AI models and scalable, secure enterprise infrastructure. You will work directly with our R&D division to integrate Quantum computing principles with classical machine learning workflows.
Why Join Us?
- Work on cutting-edge AI & Quantum hybrid systems.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a premium office in San Francisco.
- Opportunity to shape the standard for Future Tech in the US market.
Responsibilities
- Design and oversee the end-to-end architecture of high-performance AI systems, specifically tailored for the 2026 predictive landscape.
- Lead the migration of legacy infrastructure to cloud-native environments, ensuring 99.99% uptime and security compliance.
- Collaborate with data scientists and software engineers to optimize algorithm efficiency and reduce computational costs.
- Define technical standards, coding best practices, and architectural patterns for the engineering team.
- Conduct deep-dive technical reviews and architecture assessments to ensure scalability and resilience.
- Identify emerging technologies (e.g., Neuromorphic Computing) and evaluate their potential for integration into our core products.
Qualifications
- 10+ years of experience in Software Engineering and System Architecture, with at least 5 years specifically in Artificial Intelligence or Machine Learning infrastructure.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
- Strong understanding of cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Familiarity with Quantum Computing concepts and future tech stack implementations.
- Proven track record of leading cross-functional teams and managing complex technical projects.
- Excellent problem-solving skills with a focus on scalability and performance optimization.
- Master's degree in Computer Science, Engineering, or a related technical field is preferred.