Job Description
Join Nexus Horizon Labs as we pioneer the technological landscape of 2026. We are not just looking for a developer; we are seeking a Senior AI Architect who can envision and build the systems that will define the next era of human-machine collaboration. This is a unique opportunity to work on projects that push the boundaries of Artificial General Intelligence (AGI) and sustainable computing.
Our mission is to bridge the gap between theoretical AI research and practical, scalable applications that solve real-world problems. You will be at the helm of our core engineering division, guiding a team of elite data scientists and engineers.
Responsibilities
- Architect Next-Gen AI Systems: Design and implement robust, scalable machine learning pipelines capable of handling multi-modal data streams for 2026 standards.
- Lead Strategic Innovation: Identify emerging technologies (e.g., Quantum AI, Neuromorphic Computing) and integrate them into our existing infrastructure.
- Model Optimization: Oversee the training and fine-tuning of Large Language Models (LLMs) to ensure high accuracy and low latency.
- Team Leadership: Mentor junior architects and engineers, fostering a culture of innovation and continuous learning.
- Ethical AI Governance: Establish guidelines and frameworks to ensure AI deployment is transparent, fair, and safe.
- Cross-Functional Collaboration: Work closely with product managers and stakeholders to translate complex technical concepts into actionable business roadmaps.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
- Experience: 8+ years of experience in software engineering, with at least 5 years dedicated to AI/ML architecture.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Apache Spark).
- Strategic Vision: Proven track record of leading large-scale AI initiatives and delivering results in fast-paced environments.
- Communication: Exceptional ability to communicate complex technical ideas to non-technical stakeholders.
- Future-Forward Mindset: Demonstrated interest and knowledge in the trends shaping the AI landscape of 2026 and beyond.