Job Description
We are building the infrastructure for the next technological paradigm. Nexus Innovations is seeking a visionary Senior AI & Future Tech Architect to lead our research and development team in defining the roadmap for 2026 and beyond. You will be at the forefront of integrating Generative AI, Quantum-ready algorithms, and Spatial Computing into scalable enterprise solutions.
If you are passionate about pushing the boundaries of what is possible and want to architect the future of intelligent systems, apply today.
Responsibilities
- Architect Future-Proof AI Systems: Design and deploy large-scale neural network architectures optimized for next-generation hardware (GPUs, TPUs, Quantum processors).
- Lead the 2026 Roadmap: Define technical strategies for emerging AI trends, ensuring our products remain ahead of the curve.
- Model Optimization: Focus heavily on inference efficiency, model compression, and reducing latency for real-time applications.
- Mentorship & Culture: Guide a team of junior data scientists and ML engineers, fostering a culture of innovation and continuous learning.
- Cross-Functional Collaboration: Work closely with product managers, engineers, and stakeholders to translate complex technical requirements into robust solutions.
- Research Implementation: Stay abreast of the latest academic papers (e.g., Transformer variants, Diffusion models) and implement cutting-edge techniques in production.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, Mathematics, or a related technical field.
- Experience: 7+ years of professional experience in software engineering or AI development, with at least 3 years in a senior architect or lead role.
- Technical Stack: Deep expertise in Python, C++, and frameworks such as PyTorch or TensorFlow.
- Distributed Systems: Proven experience building distributed systems capable of handling high-throughput data streams.
- Problem Solving: Strong ability to troubleshoot complex performance bottlenecks and optimize large-scale models.
- Communication: Excellent verbal and written communication skills; ability to articulate complex technical concepts to non-technical audiences.