Job Description
Are you ready to architect the intelligence of tomorrow?
Omni-Tech Solutions is pioneering the future, and we are seeking a visionary Future Systems Architect to lead the integration of Artificial General Intelligence (AGI) and Quantum Computing into our next-generation infrastructure. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, this is your opportunity to shape the digital landscape.
We are looking for a technical leader who doesn't just write code, but designs ecosystems. You will be responsible for bridging the gap between theoretical quantum mechanics and practical machine learning applications.
Responsibilities
- Architect Next-Gen Systems: Design and oversee the deployment of scalable, fault-tolerant architectures that integrate AGI models with classical computing clusters.
- Quantum Integration: Develop interfaces and protocols to harness quantum processors for complex optimization problems and cryptographic security.
- Algorithm Design: Lead the research and implementation of novel machine learning algorithms designed to run efficiently on hybrid classical-quantum hardware.
- Strategic Vision: Collaborate with executive leadership to define the technical roadmap for the company's 2026 product releases and beyond.
- Team Mentorship: Mentor senior engineers and researchers, fostering a culture of innovation, continuous learning, and ethical AI development.
- Risk Management: Identify potential technical debt and security vulnerabilities in experimental technologies before they reach production.
Qualifications
- Advanced Degree: Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on AI/Quantum.
- Experience: Minimum 8+ years of experience in systems architecture, with at least 3 years in advanced AI or high-performance computing.
- Technical Proficiency: Deep expertise in Python, C++, Rust, and experience with quantum computing frameworks (e.g., Qiskit, Cirq, or Azure Quantum).
- AGI Knowledge: Strong understanding of Large Language Models (LLMs), transformer architectures, and the path toward Artificial General Intelligence.
- Problem Solving: Exceptional ability to solve complex, unstructured problems in ambiguous environments.
- Communication: Excellent verbal and written communication skills, capable of translating complex technical concepts for diverse stakeholders.