Job Description
Are you ready to define the future of technology?
Nexus Future Systems is seeking a visionary Senior AI Architect to spearhead Project 2026. We are building the next generation of cognitive computing platforms that will redefine human-machine interaction. If you thrive in a high-impact environment and possess the technical prowess to engineer complex systems at the edge of innovation, we want to hear from you.
In this role, you will not just write code; you will architect the backbone of our future ecosystem. You will work alongside world-class researchers and engineers to integrate quantum-ready algorithms with deep learning models, ensuring our solutions are scalable, secure, and revolutionary.
Responsibilities
- Lead Architectural Design: Design and oversee the implementation of scalable, high-performance AI architectures for Project 2026, focusing on edge computing and distributed systems.
- Technology Strategy: Define the technical roadmap for AI infrastructure, evaluating and selecting cutting-edge tools such as TensorFlow, PyTorch, and emerging quantum computing frameworks.
- System Optimization: Drive performance tuning and optimization of large-scale machine learning models, ensuring latency and throughput meet enterprise standards.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and security experts to translate business requirements into robust technical solutions.
- Talent Mentorship: Mentor junior engineers and architects, fostering a culture of technical excellence and continuous learning within the engineering team.
- R&D Leadership: Stay at the forefront of industry trends, experimenting with novel approaches to AI and machine learning to maintain our competitive edge.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
- Experience: 8+ years of professional experience in software engineering, with at least 5 years specifically in AI/ML architecture and system design.
- Technical Proficiency: Deep expertise in Python, C++, and CUDA. Strong understanding of distributed systems, microservices, and containerization (Docker/Kubernetes).
- Modeling: Proven track record of deploying production-grade models (NLP, Computer Vision, or Reinforcement Learning) that handle millions of requests.
- Quantum Awareness: Familiarity with quantum computing concepts and their potential application in hybrid classical-quantum algorithms.
- Soft Skills: Exceptional problem-solving abilities, strong communication skills, and the ability to lead technical initiatives in a fast-paced, ambiguous environment.