Job Description
We are pioneering the next generation of artificial intelligence, defining the landscape of technology for the year 2026 and beyond. Nexus Future Systems is seeking a visionary Senior AI Architect to lead the architectural design of autonomous systems, large-scale neural networks, and next-gen generative AI models.
As a key player in our R&D division, you will bridge the gap between theoretical AI research and production-grade engineering. You will work in a dynamic, high-performance environment where innovation is not just encouraged but required. If you are obsessed with scalability, ethical AI, and building systems that think, we want to meet you.
Why join us?
- Work on cutting-edge projects that define the future of human-computer interaction.
- Competitive compensation package with equity options.
- Access to state-of-the-art hardware and computing clusters.
- Flexible work arrangements in the heart of San Francisco.
Responsibilities
- Design and implement scalable, high-performance AI/ML infrastructure capable of handling petabyte-scale data.
- Lead the architectural vision for 2026-ready generative models, ensuring robustness and efficiency.
- Collaborate with cross-functional teams to integrate AI solutions into consumer and enterprise products.
- Define best practices for model training, deployment, and MLOps pipelines.
- Conduct research on emerging AI paradigms, including Neuromorphic computing and Quantum AI interfaces.
- Mentor junior engineers and data scientists, fostering a culture of technical excellence.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 10+ years of experience in software engineering, with at least 5 years focused on AI/ML architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
- Proven track record of deploying large-scale ML models into production environments.
- Strong understanding of machine learning algorithms, deep learning architectures, and NLP.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.