Job Description
Join the Architects of Tomorrow
We are looking for a visionary Senior AI Architect to lead the design of our next-generation infrastructure targeting the 2026 era. At Nexus Future Labs, we are building the systems that will define the future of generative intelligence and autonomous decision-making. You will be at the forefront of integrating advanced Large Language Models (LLMs) with quantum-ready architectures.
In this role, you will bridge the gap between theoretical AI research and scalable, production-grade engineering.
Responsibilities
- Architect Scalable Systems: Design and implement robust, fault-tolerant neural network architectures capable of handling petabyte-scale data streams.
- Future-Proof Roadmaps: Define technical strategies and roadmaps aligned with the 2026 technological horizon, including Agentic AI and Edge Computing integration.
- MLOps Leadership: Oversee the deployment and maintenance of CI/CD pipelines for machine learning models, ensuring high availability and minimal latency.
- Cross-Functional Collaboration: Partner with data scientists, software engineers, and product managers to translate business requirements into technical AI solutions.
- Performance Optimization: Continuously optimize model inference times and resource utilization to meet enterprise-grade standards.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 8+ years of experience in software engineering with at least 5 years specifically in AI/ML architecture and system design.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (Kubernetes, Docker).
- Domain Knowledge: Deep understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders and executive leadership.