Job Description
We are building the infrastructure for the year 2026. Nexus Horizon Technologies is seeking a visionary Lead AI Architect to spearhead the development of next-generation artificial intelligence systems. In this pivotal role, you will define the technical roadmap that will power our autonomous agents and advanced generative models.
You will work at the intersection of machine learning, software engineering, and strategic foresight. If you are passionate about solving complex problems and shaping the future of AI, we want to hear from you.
Responsibilities
- Architect 2026 Roadmap: Design and implement the core technical vision for our AI ecosystem, focusing on scalability, safety, and AGI readiness.
- Model Optimization: Lead research and deployment of cutting-edge Large Language Models (LLMs) and Transformer architectures to optimize inference speed and accuracy.
- AI Safety & Ethics: Establish rigorous safety protocols and alignment strategies to ensure AI systems operate within defined ethical boundaries.
- Cross-Functional Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Prototype Development: Rapidly prototype and validate experimental AI concepts, transitioning successful proofs-of-concept into production-ready software.
- Infrastructure Scalability: Build resilient, cloud-native infrastructure capable of handling exabyte-scale data processing.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 8+ years of experience in software engineering with a focus on AI/ML, including 3+ years in a leadership or architect role.
- Technical Skills: Deep proficiency in Python, PyTorch, and TensorFlow. Experience with distributed systems (Kubernetes, Docker) and cloud platforms (AWS, GCP, Azure).
- Domain Knowledge: Strong understanding of Natural Language Processing (NLP), Computer Vision, and Reinforcement Learning.
- Future-Forward Mindset: Ability to think abstractly about long-term technological trends and adapt strategies for the 2026 landscape.
- Communication: Exceptional ability to translate complex technical concepts for non-technical stakeholders.