Job Description
Are you ready to architect the intelligence of tomorrow?
OmniTech Dynamics is at the forefront of the 2026 revolution. We are seeking a visionary Lead AI & Quantum Architect to pioneer the next generation of generative intelligence and quantum computing integration. If you are passionate about pushing the boundaries of what is possible in the year 2026 and beyond, we want to hear from you.
In this high-impact role, you will design scalable, fault-tolerant neural architectures and optimize quantum algorithms for real-world applications. You will lead a world-class team of engineers and researchers dedicated to solving the world's most complex computational challenges.
Why Join Us?
- Work on the bleeding edge of AI and Quantum technology.
- Competitive salary and equity package.
- Remote-first culture with access to top-tier hardware.
Responsibilities
- Architect Advanced Systems: Design and implement next-generation neural networks and hybrid quantum-classical algorithms for our core product suite.
- Lead Technical Strategy: Define the technical roadmap for AI capabilities, ensuring alignment with the 2026 strategic vision.
- Optimize Performance: Drive research into model compression and quantum error correction to maximize computational efficiency.
- Mentorship: Cultivate a high-performance engineering culture, mentoring junior architects and researchers.
- Cross-Functional Collaboration: Partner with product managers and data scientists to translate complex requirements into robust technical solutions.
- R&D Leadership: Stay ahead of industry trends, specifically focusing on AGI (Artificial General Intelligence) advancements.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field.
- Experience: 7+ years of experience in AI/ML engineering, with at least 2 years leading technical teams.
- Tech Stack: Proficiency in Python, TensorFlow/PyTorch, and familiarity with quantum computing frameworks (e.g., Cirq, Qiskit).
- Problem Solving: Deep understanding of statistical modeling, distributed systems, and large-scale data processing.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
- Agile Mindset: Experience working in fast-paced, agile environments.