Job Description
We are on a mission to redefine the technological landscape for the year 2026 and beyond. Apex Future Systems is seeking a visionary Principal AI & Quantum Readiness Architect to lead our strategic technology roadmap. In this pivotal role, you will bridge the gap between theoretical quantum mechanics and practical AI application, building the infrastructure that will power the next generation of computing.
As the industry moves toward the quantum-augmented future, we need a leader who can not only predict trends but also architect the solutions that define them. If you are passionate about the intersection of advanced AI and quantum supremacy, this is your opportunity to shape the future.
Why Join Us?
- Impactful Work: Architect systems that will be foundational to the next decade of technology.
- Forward-Looking Culture: A collaborative environment focused on innovation, not legacy systems.
- Global Reach: Work with a diverse team of experts pushing the boundaries of what's possible.
Responsibilities
- Strategic Roadmapping: Define the technical vision and architecture for integrating AI and Quantum Computing into core business operations by 2026.
- System Design: Lead the end-to-end design of scalable, fault-tolerant systems capable of handling quantum-classical hybrid workloads.
- Team Leadership: Mentor and mentor a team of senior engineers and researchers, fostering a culture of technical excellence and continuous learning.
- R&D Leadership: Oversee research initiatives to identify and prototype emerging quantum algorithms and AI models.
- Stakeholder Communication: Translate complex technical concepts into clear, compelling narratives for C-level executives and investors.
- Vendor Management: Evaluate and select partnerships with leading quantum hardware and software providers.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field.
- Experience: 10+ years of experience in software architecture, with at least 3 years in AI/ML or High-Performance Computing.
- Technical Skills: Deep understanding of quantum computing concepts (Qubits, superposition, entanglement) and experience with quantum SDKs (Qiskit, Cirq).
- AI Expertise: Proficiency in designing large-scale machine learning models and deep learning architectures.
- Leadership: Proven track record of leading cross-functional teams and managing complex technical projects.
- Communication: Exceptional written and verbal communication skills with the ability to influence technical and non-technical stakeholders.