Job Description
Are you ready to engineer the future? Nexus Future Systems is seeking a visionary Senior AI Architect to lead Project 2026, our flagship initiative into the next decade of artificial intelligence. This is not just a job; it is an opportunity to define the technological landscape of the future.
In this high-impact role, you will design and implement scalable neural architectures that push the boundaries of what is possible. You will work directly with our quantum research division to bridge the gap between theoretical breakthroughs and practical application. If you are passionate about solving complex problems and leading cutting-edge innovation, we want to meet you.
Why Join Us?
- Work on Project 2026, a $50M R&D initiative.
- Competitive compensation package with equity options.
- Flexible remote-first policy with premium office amenities in San Francisco.
Responsibilities
- Architectural Leadership: Design robust, scalable deep learning systems tailored for the 2026 era infrastructure, ensuring high availability and performance.
- Model Development: Spearhead the research and deployment of Large Language Models (LLMs) and generative AI agents.
- Cross-Functional Collaboration: Partner with quantum engineers and data scientists to integrate novel hardware accelerators into software pipelines.
- Technical Strategy: Establish best practices for AI governance, ethics, and security within the organization.
- Code Quality: Lead code reviews, conduct architectural reviews, and mentor a team of talented engineers.
- Product Innovation: Translate complex research papers into production-ready code and scalable APIs.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
- Experience: 8+ years of experience in software engineering, with at least 5 years specializing in AI/ML.
- Tech Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Leadership: Proven track record of leading high-performance engineering teams and managing complex projects.
- Cloud Expertise: Deep understanding of AWS, GCP, or Azure architecture and containerization (Docker/Kubernetes).
- Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders.