Job Description
Are you ready to shape the technological landscape of 2026 and beyond? Nexus Horizon is seeking a visionary Senior AI Architect to lead our next-generation artificial intelligence initiatives. We are not just building software; we are engineering the future of human-computer interaction. Join our elite team in San Francisco and define the standards for the next decade of innovation.
In this role, you will bridge the gap between theoretical research and practical deployment, creating scalable, ethical, and robust AI systems that solve real-world problems. You will work with cutting-edge Large Language Models (LLMs), Computer Vision, and Autonomous Systems. If you are passionate about the future and possess the technical prowess to execute it, we want to hear from you.
Responsibilities
- Architect & Lead: Design and oversee the development of scalable AI infrastructure and neural network architectures for our core products.
- Future-Proofing: Research and implement emerging technologies (including AGI concepts) to ensure our solutions remain at the forefront of the industry by 2026.
- Model Optimization: Fine-tune and optimize existing models for speed, accuracy, and resource efficiency in production environments.
- Ethical AI Governance: Establish and enforce guidelines for responsible AI, ensuring fairness, transparency, and bias mitigation in all algorithmic outputs.
- Cross-Functional Collaboration: Partner with product managers, engineers, and designers to translate complex AI capabilities into intuitive user experiences.
- Technical Mentorship: Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- R&D Leadership: Lead internal hackathons and research sprints to explore breakthrough technologies.
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field (Ph.D. preferred).
- Experience: 7+ years of experience in software engineering with a strong focus on Machine Learning and AI.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Deep understanding of Deep Learning, NLP, and Computer Vision.
- Scalability: Proven track record of building and deploying high-scale machine learning systems (e.g., handling millions of requests per day).
- Problem Solving: Exceptional ability to solve complex, ambiguous problems with innovative technical solutions.
- Communication: Excellent written and verbal communication skills; ability to articulate complex technical concepts to non-technical stakeholders.
- Agile: Experience working in Agile/Scrum environments with a focus on rapid iteration and delivery.