Job Description
At Nexus Future Labs, we are not just building software; we are engineering the future. We are seeking a visionary Senior AI Systems Architect to lead the technical direction for our 2026 technology roadmap. This is a rare opportunity to work on cutting-edge, self-evolving neural networks and scalable cloud infrastructures that will define the next generation of enterprise intelligence.
You will be the bridge between theoretical AI research and practical, high-performance engineering. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, we want to hear from you.
Key Highlights:
- Work on projects that set the standard for 2026 and beyond.
- Competitive compensation package ($185k - $250k).
- Flexible remote-first policy with premium San Francisco amenities.
Responsibilities
- Strategic Architecture: Design and implement scalable AI architectures that support the long-term 2026 technology vision.
- Algorithm Development: Spearhead the development of proprietary machine learning models and predictive analytics engines.
- System Optimization: Oversee the migration to next-gen, high-performance computing environments and quantum-ready systems.
- Tech Leadership: Mentor a team of engineers and data scientists in best practices for deep learning and distributed systems.
- Stakeholder Management: Translate complex technical roadmaps into clear, actionable insights for executive leadership.
- Innovation: Continuously research emerging technologies to integrate them into our core product lines.
Qualifications
- Experience: 8+ years of experience in software engineering, with at least 4 years specifically in Artificial Intelligence and Machine Learning.
- Education: Master’s degree or PhD in Computer Science, AI, or a related field (preferred).
- Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, AWS/GCP).
- Future-Forward Thinking: Demonstrated ability to anticipate technological shifts relevant to the 2026 era.
- Problem Solving: Strong analytical skills with a proven track record of solving complex, unstructured engineering problems.