Job Description
Are you ready to define the landscape of technology in 2026?
Nexus Horizon Solutions is on a mission to pioneer the next era of artificial intelligence. We are seeking a visionary Senior AI Architect to lead our cutting-edge neural network division. In this role, you won't just be building models; you will be architecting the foundational systems that will power the global economy and human interaction for the next decade.
As a key player in our '2026 Vision' initiative, you will bridge the gap between theoretical AI and practical, scalable deployment. You will work in a dynamic, high-performance environment where innovation is not just encouraged—it is mandatory.
Why Join Us?
- Work on mission-critical projects that define the future.
- Competitive compensation package with equity options.
- Access to the latest quantum computing hardware and research labs.
Responsibilities
- Lead Architecture Strategy: Design and oversee the development of scalable, high-performance AI systems capable of handling petabyte-scale data streams.
- Future-Proofing: Proactively research and integrate emerging technologies (e.g., neuromorphic computing, AGI pathways) to stay ahead of industry trends.
- Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Cross-Functional Collaboration: Partner with product managers and engineering leads to translate complex AI concepts into robust, user-centric products.
- Roadmap Execution: Define the technical roadmap for the AI division, ensuring delivery milestones are met with the highest quality standards.
- Compliance & Ethics: Ensure all AI models adhere to ethical guidelines, safety protocols, and regulatory standards.
Qualifications
- Education: Master’s degree in Computer Science, Mathematics, or a related field; Ph.D. preferred.
- Experience: 7+ years of professional experience in AI/ML architecture, with at least 3 years in a senior leadership role.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
- Quantum Proficiency: Experience with quantum computing libraries (Qiskit, Cirq) or a strong understanding of quantum algorithm theory.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems with innovative technical solutions.
- Communication: Exceptional ability to communicate complex technical ideas to non-technical stakeholders.