Job Description
Join the Frontier of Innovation with Project 2026
Nexus Future Systems is pioneering the next generation of artificial intelligence infrastructure. We are seeking a visionary Senior AI Architect to lead the strategic design and implementation of our flagship initiative, Project 2026. This is a rare opportunity to shape the technological landscape of the future, working on autonomous systems and quantum-ready neural networks.
As a key leader within Project 2026, you will bridge the gap between theoretical AI research and scalable, production-grade engineering. You will work in a dynamic, high-performance environment focused on breaking barriers in machine learning efficiency and human-computer interaction.
Why Join Us?
- Work on cutting-edge technology that defines the future of the industry.
- Competitive compensation package and equity options.
- Flexible remote-first culture with premium benefits.
Responsibilities
- Architectural Leadership: Design robust, scalable, and secure AI infrastructure for Project 2026, ensuring high availability and performance at scale.
- Model Development: Spearhead the development of proprietary large-scale language models and generative AI systems.
- Technical Strategy: Define the technical roadmap for AI integrations, collaborating closely with product and engineering leadership.
- Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Optimization: Continuously optimize model inference speeds and reduce computational costs through architectural improvements.
- Research Integration: Evaluate and integrate the latest advancements in AI research into our production pipelines.
Qualifications
- Education: Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 7+ years of experience in software engineering, with a minimum of 3 years specifically in AI/ML architecture.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and modern deep learning frameworks.
- Cloud Expertise: Proven experience designing systems on AWS, GCP, or Azure.
- Leadership: Demonstrated ability to lead cross-functional teams and drive complex technical projects from conception to delivery.
- Problem Solving: Exceptional analytical skills with a track record of solving complex, ambiguous engineering problems.