Job Description
Are you ready to architect the future of Artificial Intelligence?
Nexus Future Labs is pioneering the next generation of intelligent systems for the year 2026 and beyond. We are looking for a visionary Senior AI Architect to lead our R&D division. In this role, you will not just build AI models; you will define the architectural standards that will power the digital world for the next decade.
Join a team of elite engineers and data scientists dedicated to pushing the boundaries of Generative AI, Large Language Models (LLMs), and autonomous agents. If you are passionate about the 'Year 2026' roadmap and want to build technology that matters, apply today.
Responsibilities
- Architect Next-Gen AI Systems: Design scalable, robust, and secure AI infrastructure capable of handling complex, real-time data streams for 2026 applications.
- Pioneering Model Development: Lead the research and implementation of cutting-edge Deep Learning and Reinforcement Learning algorithms.
- Strategic Roadmapping: Define the technical vision for our 2026 product suite, ensuring feasibility and long-term scalability.
- Cross-Functional Leadership: Collaborate with product managers, engineers, and stakeholders to translate high-level concepts into actionable technical specifications.
- Optimization & Efficiency: Drive performance optimization for large-scale models, reducing latency and increasing inference accuracy.
- Mentorship: Guide a team of junior data scientists and AI engineers, fostering a culture of continuous learning and innovation.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
- Experience: 7+ years of experience in software engineering, with at least 3-5 years specifically focused on AI/ML architecture and deployment.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with productionizing LLMs (e.g., GPT-4, LLaMA).
- Architecture: Deep understanding of distributed systems, microservices, and cloud-native architecture (AWS, GCP, or Azure).
- Problem Solving: Proven track record of solving complex, ambiguous problems in high-growth environments.
- Innovation: Demonstrated ability to think creatively about future trends and apply them to current engineering challenges.