Job Description
We are on the precipice of a technological revolution, and Nexus Horizon Technologies is building the infrastructure for the year 2026. We are seeking a visionary Lead AI Architect to spearhead our cutting-edge generative AI and neural network projects. If you are passionate about shaping the future of intelligent systems and want to define the standards for the next generation of technology, this is your opportunity to lead.
As a core member of our R&D division, you will bridge the gap between theoretical AI advancements and scalable enterprise solutions. You will work in a dynamic, high-performance environment focused on ethical AI, quantum-inspired computing, and autonomous systems.
Responsibilities
- Architect Future-Proof Systems: Design and implement scalable, high-performance AI architectures tailored for the 2026 technological landscape, focusing on scalability and efficiency.
- Lead Research & Development: Guide a team of data scientists and engineers in exploring emerging technologies, including Large Language Models (LLMs) and autonomous agents.
- Optimize Neural Networks: Drive initiatives to reduce latency and improve model accuracy in real-time processing environments.
- Strategic Roadmapping: Define the technical vision for AI integration across all company products, ensuring alignment with long-term business goals.
- Cross-Functional Collaboration: Partner with product managers, security experts, and stakeholders to translate complex technical requirements into actionable development plans.
- Establish Best Practices: Create and enforce coding standards, testing protocols, and deployment pipelines for AI models.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture and design.
- Tech Stack: Deep proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Kubernetes, Docker).
- Advanced Knowledge: Strong understanding of Generative AI, Reinforcement Learning, and Natural Language Processing (NLP).
- Problem Solving: Demonstrated ability to solve complex, unstructured problems in ambiguous environments.
- Leadership: Proven track record of leading high-performing engineering teams and mentoring junior developers.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.