Job Description
Are you ready to architect the future of intelligent systems? Nexus Innovations is seeking a visionary Senior 2026 AI Architect to lead our next-generation research and development division. As we prepare for the technological horizon of 2026, you will define the core infrastructure for our cutting-edge Artificial Intelligence and Machine Learning platforms.
In this pivotal role, you will bridge the gap between theoretical AI research and scalable production engineering. You will be responsible for designing robust, ethical, and high-performance AI systems that will power our clients' most critical applications. If you are passionate about pushing the boundaries of what is possible with Generative AI, Large Language Models (LLMs), and predictive analytics, we want to meet you.
Why Join Us?
- Work on forward-looking projects that define industry standards for 2026.
- Competitive compensation package and equity options.
- Flexible remote-first culture with opportunities for hybrid collaboration in SF.
- Access to the latest hardware and research tools.
Responsibilities
- Architect and deploy scalable AI infrastructure designed for the 2026 technology landscape.
- Lead the design and implementation of proprietary Machine Learning models and LLM fine-tuning pipelines.
- Collaborate with cross-functional teams to integrate AI solutions into complex software ecosystems.
- Ensure data privacy, security, and ethical AI compliance across all projects.
- Mentor junior architects and data scientists, fostering a culture of innovation and continuous learning.
- Conduct research on emerging AI trends to keep the organization at the forefront of technological advancement.
Qualifications
- 10+ years of experience in software engineering, with at least 5 years specializing in Artificial Intelligence and Machine Learning.
- Deep understanding of Deep Learning frameworks (PyTorch, TensorFlow, or JAX) and cloud platforms (AWS, GCP, Azure).
- Proven track record of designing end-to-end AI systems that handle high-scale production traffic.
- Strong proficiency in Python, SQL, and distributed computing systems.
- Experience with MLOps, model versioning, and automated deployment pipelines.
- Master’s degree or PhD in Computer Science, Robotics, or a related technical field is preferred.