Job Description
Are you ready to architect the intelligence of tomorrow?
Nexus Future Systems is at the forefront of the AI revolution. We are seeking a visionary Senior AI Architect to lead our R&D division and define the technological roadmap for 2026 and beyond. If you possess a deep understanding of machine learning, generative models, and scalable infrastructure, we want to hear from you.
Why Join Us?
• Work on cutting-edge generative AI projects.
• Competitive salary and equity package.
• Flexible remote-first policy with top-tier benefits.
Key Responsibilities:
- Design and implement scalable AI architectures for large-scale enterprise solutions.
- Lead research initiatives in Large Language Models (LLMs) and Autonomous Agents.
- Optimize model inference performance and reduce latency for real-time applications.
- Collaborate with product teams to translate complex AI capabilities into user-friendly features.
- Mentor junior engineers and establish best practices for MLOps and data governance.
Qualifications:
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 7+ years of professional experience in AI/ML engineering, with at least 2 years in a lead or architect role.
- Expert proficiency in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
- Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- Experience with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
Responsibilities
- Design and implement scalable AI architectures for large-scale enterprise solutions.
- Lead research initiatives in Large Language Models (LLMs) and Autonomous Agents.
- Optimize model inference performance and reduce latency for real-time applications.
- Collaborate with product teams to translate complex AI capabilities into user-friendly features.
- Mentor junior engineers and establish best practices for MLOps and data governance.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 7+ years of professional experience in AI/ML engineering, with at least 2 years in a lead or architect role.
- Expert proficiency in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
- Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- Experience with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).