Job Description
We are not just predicting the future; we are building it. In 2026, the convergence of Generative AI, Quantum Computing, and Ethical Robotics will redefine the digital landscape. Nexus Horizon Technologies is seeking a visionary Senior AI Architect to lead our next-generation platform initiatives.
In this role, you will bridge the gap between theoretical AI research and production-grade engineering, ensuring our solutions remain at the cutting edge of technology. You will be responsible for architecting scalable neural networks, defining our AI governance framework, and mentoring a team of elite engineers.
If you are passionate about the trajectory of artificial intelligence and want to define the standards of 2026, we want to hear from you.
Responsibilities
- Architect Neural Ecosystems: Design and implement complex, scalable deep learning architectures that integrate Generative AI with classical machine learning models for 2026 applications.
- Lead Ethical AI: Spearhead the development and enforcement of ethical AI frameworks, ensuring transparency, fairness, and bias mitigation in all automated decision-making systems.
- Quantum Integration: Collaborate with quantum computing teams to develop hybrid algorithms that leverage quantum supremacy for future-proof data processing.
- Technical Strategy: Translate high-level business requirements into technical blueprints, defining the technology stack and roadmap for our upcoming products.
- Mentorship: Guide and mentor a diverse team of data scientists and ML engineers, fostering a culture of innovation and continuous learning.
- Stakeholder Communication: Present complex technical concepts to non-technical stakeholders and executive leadership to drive strategic alignment.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field from a top-tier university.
- Experience: 8+ years of professional experience in machine learning, deep learning, or AI engineering, with at least 3 years in a leadership or architect role.
- Technical Proficiency: Expert knowledge of Python, PyTorch, TensorFlow, and Hugging Face transformers. Experience with large language models (LLMs) and fine-tuning is required.
- Systems Design: Proven track record of designing distributed systems capable of handling high-throughput data streams and real-time inference.
- Leadership: Demonstrated ability to lead cross-functional teams and manage project lifecycles from conception to deployment.
- Problem Solving: Exceptional analytical skills with a focus on solving ambiguous, high-impact technical problems.