Job Description
Join the Vanguard of the 2026 Tech Revolution
We are on a mission to redefine the boundaries of human-computer interaction through next-generation artificial intelligence and quantum computing. At Nexus Future Systems, we are not just building the future; we are architecting it. We are seeking a visionary Lead AI & Quantum Architect to spearhead our core infrastructure and guide our team of elite engineers in deploying scalable, self-evolving neural networks.
If you are passionate about the convergence of classical machine learning and quantum mechanics, and you thrive in high-stakes, innovative environments, this is your opportunity to shape the digital landscape of tomorrow.
Responsibilities
- Architect Next-Gen Neural Networks: Design and deploy complex, multi-layered AI architectures capable of processing quantum-scale data streams in real-time.
- Quantum Integration: Lead the integration of quantum processors into classical AI frameworks, optimizing algorithms for hybrid computing environments.
- Strategic Roadmap: Define the technical vision and roadmap for AI evolution, ensuring alignment with long-term business objectives and emerging 2026 trends.
- Team Leadership: Mentor a diverse team of data scientists and quantum engineers, fostering a culture of innovation, technical excellence, and continuous learning.
- Performance Optimization: Continuously monitor, tune, and optimize AI models for latency, throughput, and energy efficiency across global cloud infrastructures.
- Research & Development: Stay at the forefront of industry breakthroughs, evaluating new frameworks (e.g., Neuromorphic Computing, AGI Pre-training) and prototyping solutions.
- Ethical AI Governance: Establish protocols for responsible AI development, ensuring transparency, fairness, and compliance with evolving global regulations.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, or a related field with a focus on Artificial Intelligence and Quantum Mechanics.
- Experience: Minimum 8+ years of experience in AI/ML engineering, with at least 3 years in a leadership or architectural role.
- Technical Expertise: Deep proficiency in Python, TensorFlow, PyTorch, and experience with quantum computing libraries such as Qiskit or Cirq.
- Architecture Skills: Proven track record of designing scalable, fault-tolerant distributed systems and microservices.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.
- Innovation Mindset: Demonstrated history of patentable work, published research, or significant contributions to open-source AI projects.
- Agile Mastery: Experience managing product lifecycles within Agile and Scrum frameworks.