Job Description
We are not just building for tomorrow; we are architecting the reality of 2026. OmniFuture is seeking a visionary Future Tech Architect to lead our research into AGI (Artificial General Intelligence) and quantum-ready infrastructure. You will define the architectural standards for our next-generation autonomous systems, ensuring our platforms are scalable, secure, and ethically aligned for the future.
In this high-impact role, you will bridge the gap between theoretical future trends and practical, deployable code. If you are passionate about the next evolution of technology and want to shape the digital landscape of the mid-2020s, we want to hear from you.
Responsibilities
- Design & Build: Architect scalable, fault-tolerant systems designed to handle the computational load of 2026-era AI models.
- Quantum Integration: Develop hybrid architectures that integrate classical machine learning with quantum computing primitives.
- Ethical AI Frameworks: Implement guardrails and ethical guidelines into core system logic to prevent bias and ensure transparency.
- Autonomous Agents: Lead the development of self-healing code and autonomous software agents capable of complex decision-making.
- Future-Proofing: Conduct research and prototyping for emerging technologies (e.g., Neuromorphic Computing, Edge AI) to prepare our infrastructure.
- Mentorship: Guide a team of elite engineers in navigating the complexities of next-gen software development.
Qualifications
- Experience: 8+ years of experience in software architecture, with at least 3 years specifically in AI/ML infrastructure.
- Technical Skills: Deep expertise in Python, Rust, and distributed systems. Familiarity with quantum computing frameworks (e.g., Qiskit, Cirq) is a major plus.
- Strategic Vision: Demonstrated ability to foresee industry trends and translate them into technical roadmaps.
- Problem Solving: Ability to solve complex, undefined problems where the solution does not yet exist.
- Communication: Excellent verbal and written communication skills; capable of presenting technical concepts to non-technical stakeholders.
- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.