Job Description
We are hiring a visionary Senior AI Architect to spearhead our research and development efforts for the 2026 technological horizon. As we navigate the transition toward autonomous systems and advanced neural networks, you will define the architectural blueprint for our next generation of intelligent products.
In this role, you will not just write code; you will shape the future of human-machine interaction. We are looking for a leader who can bridge the gap between cutting-edge research and scalable enterprise infrastructure.
Why Join Nexus Horizon?
- Work on next-generation AI technologies that will define the landscape of 2026 and beyond.
- Competitive compensation package and equity opportunities.
- Collaborate with world-class engineers and researchers in a premium tech environment.
Responsibilities
- Strategic Roadmap: Lead the architectural design and implementation of AI systems specifically tailored for the 2026 era, focusing on Agentic AI and Large Language Models (LLMs).
- System Design: Design scalable, fault-tolerant machine learning pipelines and distributed computing architectures.
- Team Leadership: Mentor a team of data scientists and ML engineers, fostering a culture of innovation and technical excellence.
- Proof of Concepts: Build and validate high-fidelity prototypes to demonstrate future capabilities to stakeholders and investors.
- Optimization: Drive performance optimization and cost-efficiency improvements in our existing inference and training stacks.
- Compliance: Ensure all AI systems adhere to strict ethical guidelines, data privacy standards, and regulatory requirements.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience: 7+ years of experience in software engineering, with at least 4 years in a senior leadership or architect role.
- Technical Skills: Proficiency in Python, C++, and deep learning frameworks (PyTorch or TensorFlow).
- Domain Knowledge: Strong understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Cloud Expertise: Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Problem Solving: Exceptional ability to solve complex technical challenges and translate business requirements into technical solutions.