Job Description
Are you ready to define the technological landscape of the future?
Nexus Future Labs is seeking a visionary Senior AI Architect to lead our 2026 Technical Roadmap. In this pivotal role, you will bridge the gap between theoretical AI potential and scalable production systems, defining the standards for next-generation intelligence and automation.
We are looking for a thought leader who is passionate about the convergence of generative AI, quantum computing, and human-computer interaction. If you want to build the infrastructure that powers the world of 2026 and beyond, this is your opportunity to make a lasting impact.
Nexus Future Labs is seeking a visionary Senior AI Architect to lead our 2026 Technical Roadmap. In this pivotal role, you will bridge the gap between theoretical AI potential and scalable production systems, defining the standards for next-generation intelligence and automation.
We are looking for a thought leader who is passionate about the convergence of generative AI, quantum computing, and human-computer interaction. If you want to build the infrastructure that powers the world of 2026 and beyond, this is your opportunity to make a lasting impact.
Responsibilities
- Architect Future Systems: Design and implement scalable AI infrastructure aligned with our 2026 strategic vision.
- Lead Model Development: Oversee the research and deployment of state-of-the-art Large Language Models (LLMs) and neural architectures.
- Technical Strategy: Conduct feasibility studies on emerging tech trends (e.g., AGI, Neuro-symbolic AI) to guide product direction.
- Optimization & Performance: Ensure AI models meet strict latency, accuracy, and cost-efficiency standards for real-time applications.
- Cross-Functional Collaboration: Partner with product managers and data scientists to translate complex requirements into technical solutions.
- Talent Mentorship: Build and mentor a high-performing engineering team focused on AI innovation.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Experience: 7+ years of professional experience in AI/ML engineering, with at least 3 years in a senior or lead architectural role.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Cloud Mastery: Proven track record deploying models on major cloud platforms (AWS, GCP, or Azure).
- Problem Solving: Demonstrated ability to solve complex, unstructured problems in high-pressure environments.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.