Job Description
We are not building for today; we are architecting the infrastructure for The Year 2026. Nexus Horizons is at the forefront of the next technological revolution, blending Artificial General Intelligence (AGI) with quantum computing. We are seeking a visionary Lead AI Architect to define the neural architectures and system designs that will define the future of human-machine interaction.
Why Join Us?
We offer a competitive package, cutting-edge research opportunities, and the chance to shape the roadmap for the Year 2026. If you are passionate about pushing the boundaries of what is possible in AI, this is your opportunity to lead.
Responsibilities
- Architect the 2026 Roadmap: Design and implement scalable neural network architectures that support next-gen AGI capabilities.
- Quantum Integration: Lead the integration of quantum processing units into existing AI workflows to solve complex optimization problems.
- System Leadership: Oversee the end-to-end development lifecycle of proprietary AI models, ensuring high performance and low latency.
- Research & Innovation: Stay ahead of the curve on emerging technologies, specifically focusing on neuromorphic computing and edge AI for 2026 deployment.
- Team Mentorship: Mentor a team of senior engineers and data scientists, fostering a culture of technical excellence and innovation.
- Strategic Planning: Collaborate with C-suite executives to define technical strategies that align with the company's futuristic vision.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- Experience: 10+ years of experience in AI/ML engineering, with at least 3 years in a Lead Architect or Principal Engineer role.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and Rust. Familiarity with quantum computing frameworks (e.g., Qiskit, Cirq) is a plus.
- Architecture: Proven track record of designing distributed systems capable of handling petabyte-scale data.
- Leadership: Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
- Agile Mindset: Experience working in fast-paced, agile environments with a focus on rapid prototyping and iteration.