Job Description
Are you ready to define the next era of intelligent systems? Nexus Future Labs is seeking a visionary Lead AI Architect to spearhead our infrastructure and research initiatives for our 2026 roadmap. In this pivotal role, you will bridge the gap between theoretical machine learning and scalable production systems, ensuring our platforms lead the market in efficiency and intelligence.
We are not just building software; we are architecting the future. If you thrive in high-stakes environments and are passionate about solving complex problems with code, we want to meet you.
Responsibilities
- Architect Scalable AI Frameworks: Design and implement robust, scalable AI and machine learning pipelines capable of processing petabytes of data.
- Drive R&D Strategy: Lead research initiatives focused on Generative AI and Large Language Models (LLMs) tailored for 2026 enterprise needs.
- System Optimization: Oversee the optimization of model inference latency and accuracy, ensuring zero-trust security protocols are integrated into every layer.
- Team Leadership: Mentor a diverse team of data scientists and engineers, fostering a culture of innovation and technical excellence.
- Stakeholder Collaboration: Translate complex technical requirements into clear strategic roadmaps for executive leadership and product teams.
- Infrastructure Modernization: Transition legacy systems to modern cloud-native architectures using Kubernetes and serverless computing.
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
- Experience: 7+ years of experience in software engineering and machine learning, with at least 3 years in a leadership or architect role.
- Technical Proficiency: Deep expertise in Python, TensorFlow, PyTorch, and C++. Experience with MLOps tools (MLflow, Kubeflow) is required.
- Cloud Mastery: Proven track record of building systems on AWS, Azure, or Google Cloud Platform.
- Problem Solving: Exceptional ability to deconstruct complex problems and design elegant, efficient solutions.
- Communication: Superior verbal and written communication skills, capable of presenting technical concepts to non-technical audiences.