Job Description
We are pioneering the infrastructure for the year 2026 and beyond. Nexus Future Systems is seeking a visionary Principal AI Architect to lead our R&D division. In this role, you won't just be maintaining current systems; you will be architecting the neural networks and predictive frameworks that will define the next generation of human-machine interaction. If you are obsessed with scalability, deep learning, and the future of Generative AI, this is your opportunity to leave a permanent mark on the industry.
You will work at the intersection of theoretical AI research and production-grade engineering, ensuring our solutions are robust, ethical, and future-proof.
Responsibilities
- Architect the 2026 Roadmap: Design the long-term technical vision for our proprietary Large Language Models and predictive algorithms.
- System Scalability: Oversee the migration to edge-computing architectures and ensure AI inference runs at millisecond latency globally.
- Predictive Modeling: Develop next-gen forecasting engines that utilize unstructured data to anticipate market shifts.
- Team Leadership: Mentor senior engineers and researchers, fostering a culture of innovation and rapid prototyping.
- Model Optimization: Continuously refine model weights and training pipelines to reduce computational costs while increasing accuracy.
- Strategic Partnerships: Collaborate with product leaders to translate futuristic concepts into actionable software products.
Qualifications
- Experience: 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Core Tech: Deep expertise in Python, PyTorch, TensorFlow, and distributed system design.
- Education: Master’s degree or PhD in Computer Science, Machine Learning, or a related technical field.
- AI Specialization: Proven track record of deploying Large Language Models (LLMs) in production environments.
- Soft Skills: Exceptional communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Forward-Thinking: A demonstrated ability to anticipate technological trends and adapt systems accordingly.