Job Description
We are seeking a visionary Senior AI Architect to lead our 2026 R&D initiatives. As we prepare for the next era of technological evolution, you will be responsible for designing scalable, intelligent systems that redefine industry standards. This role is pivotal in shaping our roadmap for autonomous agents and generative AI integration.
At Nexus Future Systems, we don't just predict the future; we build it. You will work with a world-class team of engineers and data scientists to deploy cutting-edge machine learning models that power our enterprise solutions.
Responsibilities
- Architect Solutions: Design and implement robust, scalable AI architectures that align with our 2026 strategic roadmap.
- Model Development: Lead the research, training, and deployment of advanced Large Language Models (LLMs) and computer vision systems.
- Optimization: Enhance model inference speeds and reduce latency for real-time applications in high-stakes environments.
- Technical Leadership: Mentor a team of AI engineers, establishing code quality standards and best practices for MLOps.
- Integration: Collaborate with product managers and software engineers to seamlessly integrate AI models into production workflows.
- Future Proofing: Stay ahead of emerging AI trends and evaluate new technologies to ensure our platform remains competitive through 2026 and beyond.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: Minimum 7 years of experience in machine learning engineering, with at least 3 years in a leadership or architect role.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with GPU acceleration (CUDA).
- Cloud Expertise: Deep understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Problem Solving: Proven track record of solving complex, ambiguous problems with data-driven solutions.
- Communication: Exceptional ability to translate technical concepts to non-technical stakeholders.