Job Description
We are seeking a visionary Senior AI Architect to lead our 2026 Horizon Initiative. At Nexus Future Systems, we are building the operating system for the next decade. You will design and deploy cutting-edge Artificial Intelligence models that will redefine human-computer interaction and solve complex global challenges.
In this role, you will be at the forefront of the AI revolution, bridging the gap between theoretical research and scalable production systems. We offer a competitive salary, equity packages, and a culture that prioritizes innovation, ethical AI development, and continuous learning.
Why Join Us?
- Work on technology that shapes the future of humanity.
- Collaborate with world-class engineers and researchers.
- Flexible remote-first policy with access to premium tech hubs.
- Unlimited PTO and comprehensive health benefits.
Responsibilities
- Architect Scalable Solutions: Design and implement robust deep learning architectures capable of handling billions of data points with sub-millisecond latency.
- Lead Research & Development: Spearhead R&D initiatives in Generative AI, Large Language Models (LLMs), and Reinforcement Learning to meet 2026 industry standards.
- Ethical AI Oversight: Establish and enforce strict guidelines for AI ethics, fairness, transparency, and bias mitigation in all deployed models.
- Cross-Functional Collaboration: Partner with software engineers, product managers, and quantum computing specialists to integrate AI into broader system architectures.
- Technical Mentorship: Guide a team of junior data scientists and ML engineers, fostering a culture of technical excellence and continuous improvement.
- Performance Optimization: Continuously monitor, evaluate, and optimize model performance and resource utilization in cloud environments.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, Applied Mathematics, or a related technical field.
- Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years in a senior architectural role.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with modern cloud platforms (AWS, GCP, or Azure).
- Model Engineering: Deep understanding of NLP, Computer Vision, or Reinforcement Learning; experience fine-tuning LLMs is highly preferred.
- System Design: Strong background in distributed systems, microservices, and high-availability system design.
- Communication: Exceptional ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders.