Job Description
Are you ready to architect the future of intelligence? Nexus Future Labs is looking for a visionary 2026 AI Architect to lead our cutting-edge research division. In this role, you will define the technical roadmap for next-generation generative AI systems and scalable machine learning infrastructure.
We are not just building software; we are defining the paradigm for human-machine interaction in the decade ahead. If you possess a deep understanding of neural networks and a passion for solving complex problems, we want to hear from you.
Why Join Us?
- Work on projects that will shape the future of technology.
- Competitive compensation package and equity options.
- Flexible remote and hybrid work environment.
- Access to state-of-the-art hardware and cloud resources.
Responsibilities
- Design and implement scalable, high-performance AI architectures capable of handling petabyte-scale data.
- Lead the research and development of proprietary generative models, including LLMs and diffusion models.
- Collaborate with cross-functional teams including product managers, data scientists, and engineers to translate business requirements into technical solutions.
- Mentor junior engineers and establish best practices for code quality, model deployment, and MLOps.
- Stay at the forefront of industry trends, including Quantum AI and Neuromorphic computing, and evaluate their applicability to our products.
- Optimize model inference speed and reduce computational costs without sacrificing accuracy.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, or a related field (PhD preferred).
- 10+ years of experience in software engineering and machine learning, with at least 5 years in a lead or architect role.
- Deep expertise in Python, PyTorch, TensorFlow, or JAX.
- Proven track record of deploying large-scale machine learning models into production environments.
- Strong understanding of distributed systems, cloud computing (AWS/GCP/Azure), and containerization technologies (Docker/Kubernetes).
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.