Job Description
We are looking for a visionary Senior AI Architect to lead the development of our next-generation systems for the 2026 era. At Nexus Horizon Labs, we aren't just building software; we are architecting the future of intelligent computing. You will be responsible for defining the technical roadmap for our flagship AI products, ensuring scalability, and pushing the boundaries of what is possible in artificial intelligence.
If you are passionate about generative models, autonomous systems, and the intersection of quantum-inspired algorithms with classical machine learning, this is the opportunity of a lifetime.
Responsibilities
- Architect Design: Design and implement robust, scalable AI infrastructure to support high-volume, low-latency applications for the 2026 release cycle.
- Model Development: Lead the research, training, and fine-tuning of Large Language Models (LLMs) and neural networks.
- Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- System Integration: Oversee the integration of AI components into our core product ecosystem using MLOps best practices.
- Future-Proofing: Evaluate emerging technologies (e.g., quantum computing, edge AI) and define how they fit into our long-term strategy.
- Compliance: Ensure all AI deployments adhere to strict ethical guidelines, data privacy regulations, and bias mitigation protocols.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 8+ years of experience in software engineering, with at least 4 years in specialized AI/ML architecture.
- Programming: Deep expertise in Python, PyTorch, or TensorFlow. Experience with Rust or Go is a plus.
- Cloud & DevOps: Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Leadership: Proven track record of leading cross-functional teams and delivering complex projects on time.
- Problem Solving: Ability to tackle ambiguous problems and devise innovative technical solutions.