Job Description
Are you ready to architect the future of intelligence?
Horizon AI Labs is on a mission to redefine the boundaries of artificial intelligence. As we gear up for the technological paradigm shift of 2026, we are seeking a visionary Next-Gen AI Systems Architect to lead our core infrastructure initiatives. This is not just a job; it is an opportunity to build the neural foundations of tomorrow.
In this role, you will bridge the gap between theoretical AI breakthroughs and scalable production systems. You will work at the cutting edge of generative models, quantum-assisted computing, and ethical AI frameworks. Join us in shaping the digital landscape of the next decade.
Responsibilities
- Design Next-Gen Architectures: Architect scalable, fault-tolerant neural network infrastructures capable of handling petabyte-scale data flows.
- Quantum Integration: Lead the research and integration of quantum computing algorithms into classical AI pipelines to enhance processing power.
- Optimization & Performance: Spearhead initiatives to reduce model latency and energy consumption in edge computing environments.
- AI Governance: Implement and oversee ethical AI frameworks to ensure transparency, fairness, and safety in autonomous systems.
- Technical Roadmapping: Define the technical roadmap for Horizon AI Labs, setting the standard for 2026 and beyond.
- Collaboration: Partner with product managers, data scientists, and engineers to translate complex AI concepts into robust software solutions.
- Mentorship: Foster a culture of innovation by mentoring junior architects and reviewing complex codebases.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in software engineering and machine learning, with at least 3 years in a senior architect role.
- Technical Skills: Deep expertise in Python, C++, and frameworks such as PyTorch, TensorFlow, or JAX.
- System Design: Proven track record of designing distributed systems and high-throughput APIs.
- Quantum Knowledge: Familiarity with quantum computing concepts (Qiskit, Cirq) is highly preferred.
- Leadership: Strong ability to lead cross-functional teams and drive technical strategy.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.