Job Description
Join the Architects of Tomorrow.
We are Nexus Future Systems, a premier AI research lab pushing the boundaries of what is possible in 2026 and beyond. We are looking for a visionary Lead AI Architect to spearhead the development of our next-generation Artificial General Intelligence (AGI) infrastructure. If you are passionate about building systems that think, learn, and evolve, we want to meet you.
The Role:
You will be responsible for designing and implementing scalable, secure, and efficient AI systems that will define the technological landscape of 2026. You will work at the intersection of deep learning, distributed systems, and ethical AI governance.
Why Join Us?
* Work on cutting-edge AGI research with a top-tier engineering team.
* Competitive equity package and top-tier compensation.
* Focus on long-term impact and sustainable AI development.
Responsibilities
- Design Next-Gen Architectures: Spearhead the architectural design of Large Language Models (LLMs) and multimodal AI systems optimized for 2026 computational standards.
- Model Optimization: Implement advanced optimization techniques (quantization, pruning, distillation) to deploy high-performance models on edge devices and cloud infrastructure.
- System Integration: Oversee the integration of AI models into production environments, ensuring seamless data flow and real-time processing capabilities.
- Ethical AI Frameworks: Establish and enforce governance protocols to ensure AI safety, fairness, and transparency in all deployed systems.
- R&D Leadership: Mentor a team of junior data scientists and engineers, fostering a culture of innovation and continuous learning.
- Performance Scaling: Lead initiatives to scale inference throughput by 10x while reducing latency and operational costs.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Experience: 5+ years of professional experience in machine learning engineering, with at least 2 years in a senior architect role.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Ray).
- Deep Learning: Strong understanding of transformer architectures, attention mechanisms, and NLP.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems at scale.
- Leadership: Proven track record of leading cross-functional teams and managing technical roadmaps.