Job Description
Are you ready to architect the digital landscape of 2026 and beyond? Nexus Horizon AI is seeking a visionary Lead AI Architect to spearhead the development of next-generation autonomous systems and generative intelligence platforms. In this pivotal role, you will define the technical strategy for our upcoming product suite, ensuring our AI solutions remain at the cutting edge of innovation.
We are not just building software; we are shaping the future of human-machine interaction. Join a world-class team of researchers and engineers dedicated to pushing the boundaries of what is possible in artificial intelligence.
Responsibilities
- Architect Next-Gen AI Ecosystems: Design and implement scalable, robust architectures for autonomous agents and large language models (LLMs) optimized for the 2026 landscape.
- Lead Technical Vision: Define the technical roadmap for AI infrastructure, driving innovation in reinforcement learning and neural symbolic integration.
- Ethical AI Implementation: Establish and enforce rigorous ethical guidelines and bias mitigation protocols to ensure responsible AI deployment.
- Cross-Functional Leadership: Collaborate with product managers, designers, and engineering teams to translate complex research into high-performance, user-centric products.
- Model Optimization: Oversee the fine-tuning and deployment of proprietary models, ensuring high accuracy and low latency in real-world applications.
- Research Integration: Bridge the gap between academic research and industrial application, integrating state-of-the-art findings into our production pipeline.
- Security & Compliance: Spearhead initiatives to secure AI systems against adversarial attacks and ensure compliance with evolving data privacy regulations.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field from a top-tier institution.
- Experience: Minimum of 7+ years of experience in software engineering and AI architecture, with a proven track record of leading high-impact technical projects.
- Technical Expertise: Deep proficiency in Python, PyTorch, TensorFlow, and modern MLOps tools (Kubeflow, MLflow).
- AI Specialization: Extensive knowledge of Large Language Models (GPT, Llama), Transformers, and prompt engineering strategies.
- System Design: Strong ability to design distributed systems capable of handling billions of requests and petabytes of data.
- Leadership Skills: Demonstrated experience mentoring teams, conducting code reviews, and fostering a culture of technical excellence.
- Problem Solving: Exceptional analytical skills with the ability to troubleshoot complex, multi-layered technical challenges.