Job Description
Are you ready to architect the future of technology?
Nexus Horizon Labs is seeking a visionary **Senior AI Architect** to spearhead our 2026 readiness strategy. We are pioneering the next generation of generative AI and quantum integration, and we need a leader who can translate complex futuristic concepts into scalable, robust engineering solutions.
In this pivotal role, you will define the architectural framework that will support our enterprise-grade AI systems for the coming decade. You will work at the intersection of machine learning, predictive analytics, and next-gen hardware optimization.
If you are driven by the challenge of building systems that don't just exist today but define the landscape of tomorrow, we want to hear from you.
Nexus Horizon Labs is seeking a visionary **Senior AI Architect** to spearhead our 2026 readiness strategy. We are pioneering the next generation of generative AI and quantum integration, and we need a leader who can translate complex futuristic concepts into scalable, robust engineering solutions.
In this pivotal role, you will define the architectural framework that will support our enterprise-grade AI systems for the coming decade. You will work at the intersection of machine learning, predictive analytics, and next-gen hardware optimization.
If you are driven by the challenge of building systems that don't just exist today but define the landscape of tomorrow, we want to hear from you.
Responsibilities
- Design and implement scalable AI architectures tailored for 2026-era computing environments.
- Lead the integration of quantum algorithms into existing machine learning pipelines.
- Define technical roadmaps and mentor a team of senior engineers and data scientists.
- Conduct R&D to evaluate emerging technologies like neuromorphic computing and edge AI.
- Collaborate with cross-functional product teams to translate business requirements into technical blueprints.
- Ensure system reliability, security, and performance at scale.
- Present architectural strategies and technical vision to executive stakeholders.
Qualifications
- Master’s degree in Computer Science, Data Science, Physics, or a related field.
- Minimum of 7 years of experience in AI/ML architecture, with at least 2 years in a leadership role.
- Deep expertise in Python, TensorFlow, PyTorch, and quantum computing frameworks (e.g., Qiskit, Cirq).
- Experience with cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Strong understanding of neural networks, natural language processing (NLP), and computer vision.
- Exceptional problem-solving skills and the ability to navigate ambiguity in a rapidly evolving tech landscape.
- Excellent verbal and written communication skills for technical documentation and stakeholder management.