Job Description
We are at the forefront of defining the technological landscape for 2026 and beyond. Nexus Future Labs is seeking a visionary Senior AI Architect to lead the development of next-generation intelligent systems. If you are passionate about the future of AI, ethics, and scalable architecture, this is your chance to shape the industry standard.
In this pivotal role, you will bridge the gap between theoretical research and practical, high-impact engineering solutions, ensuring our infrastructure is ready for the demands of tomorrow.
Responsibilities
- Architecting the Future: Design and deploy scalable machine learning pipelines capable of handling real-time, high-volume data processing for the 2026 ecosystem.
- R&D Leadership: Spearhead the research and implementation of generative AI models and large language model (LLM) integrations to drive innovation.
- Technical Roadmap: Define the technical vision for AI infrastructure, ensuring alignment with future-proof scalability, security, and regulatory standards.
- Strategic Collaboration: Partner with product and engineering teams to translate complex business requirements into robust, ethical AI solutions.
- Governance & Ethics: Establish and enforce AI governance frameworks, focusing on ethical guidelines, bias mitigation, and responsible AI practices.
- Performance Optimization: Continuously optimize model inference speed, accuracy, and cost-efficiency within cloud-native environments.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience: 7+ years of software engineering experience with a specific focus on AI/ML architecture and deployment.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and modern deep learning frameworks.
- Infrastructure: Proven track record designing large-scale distributed systems using Kubernetes, Docker, and AWS or GCP.
- AI Ethics: Strong understanding of AI ethics, explainable AI (XAI), and regulatory compliance in the tech industry.
- Leadership: Excellent communication skills and a history of leading cross-functional engineering teams through complex technical challenges.