Job Description
The Opportunity: Nexus Future Systems is pioneering the technological landscape for the year 2026 and beyond. We are seeking a visionary Senior AI Architect to lead the development of next-generation Artificial General Intelligence (AGI) frameworks. In this role, you will architect scalable, ethical, and high-performance machine learning systems that will define the future of human-machine interaction.
Why Join Us?
We offer a competitive benefits package, remote-first flexibility, and the chance to work on projects that push the boundaries of science. If you are passionate about building the intelligent infrastructure of tomorrow, we want to hear from you.
Responsibilities
- Architect Next-Gen Systems: Design and implement robust, scalable AI infrastructures capable of handling petabyte-scale data streams for the 2026 roadmap.
- Model Optimization: Lead the research and development of advanced Large Language Models (LLMs) and generative AI models, focusing on efficiency and accuracy.
- Ethical AI Compliance: Establish and enforce frameworks for AI safety, fairness, and transparency to ensure responsible deployment of intelligent systems.
- Cross-Functional Leadership: Collaborate with software engineers, data scientists, and product managers to integrate AI solutions into core business applications.
- Roadmap Execution: Translate technical requirements into actionable development plans, ensuring delivery of key milestones for the 2026 product cycle.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, Physics, or a related field with a focus on AI/ML.
- Experience: 7+ years of professional experience in software engineering and machine learning, with at least 3 years in a leadership or architect role.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with distributed computing systems (Kubernetes, Docker) is essential.
- Research: Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR) or contributing to open-source AI communities.
- Problem Solving: Ability to navigate ambiguity and solve complex, unstructured problems in real-time environments.