Job Description
Are you ready to define the future of technology?
Nexus Horizon AI is seeking a visionary AI Architect to lead our cutting-edge research and development initiatives. As we look toward the 2026 roadmap, we need a technical leader who can bridge the gap between theoretical AI breakthroughs and scalable, real-world applications. If you are passionate about generative models, large language models (LLMs), and the next generation of intelligent systems, this is your chance to make an impact.
Why Join Us?
- Work with a team of elite engineers and researchers pushing the boundaries of AI.
- Shape the technical strategy that defines the industry standards for 2026 and beyond.
- Competitive compensation package with equity options.
- Flexible remote-first hybrid work culture.
What You Will Do:
You will be responsible for architecting robust AI systems that can handle complex data challenges while maintaining high performance and security standards. Your work will directly influence our product roadmap and set the foundation for our future success.
Responsibilities
- Lead AI Strategy: Define and execute the technical roadmap for AI initiatives, ensuring alignment with the company’s 2026 vision.
- System Architecture: Design and implement scalable machine learning pipelines and infrastructure using cloud-native technologies.
- Model Development: Spearhead the development of advanced Generative AI and NLP models, optimizing them for accuracy and efficiency.
- Technical Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
- Collaboration: Work closely with product managers and stakeholders to translate business requirements into technical solutions.
- Research & Innovation: Stay at the forefront of emerging AI trends and evaluate new technologies to keep our stack cutting-edge.
- Performance Optimization: Monitor model performance in production environments and implement best practices for MLOps.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience: Minimum of 5+ years of professional experience in AI/ML engineering, software development, or research.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
- Cloud Expertise: Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
- AI Fundamentals: Deep understanding of machine learning algorithms, neural networks, and statistical modeling.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical audiences.
- Problem Solving: Proven track record of solving complex engineering challenges and delivering high-quality software products.