Job Description
Are you ready to architect the future of Artificial Intelligence?
Nexus Future Tech is pioneering the roadmap for 2026. We are seeking a visionary Senior AI Architect to lead our advanced Generative AI and Large Language Model initiatives. In this role, you won't just implement existing technology; you will define the standards for how AI integrates into enterprise workflows in the coming years.
You will work at the intersection of theoretical research and practical engineering, ensuring our platforms are scalable, secure, and ahead of the curve. If you are passionate about the next generation of AI and want to shape the technological landscape of 2026, we want to hear from you.
Why join us?
- Work on cutting-edge LLM fine-tuning and RAG architectures.
- Competitive equity package and benefits.
- Remote-first culture with quarterly global meetups.
Responsibilities
- Lead AI Strategy: Define the technical roadmap for 2026, identifying emerging trends in Generative AI and integrating them into our core product suite.
- Model Development: Design, train, and optimize large-scale transformer models and multimodal AI systems.
- System Architecture: Build scalable, high-performance inference pipelines capable of handling millions of requests per day.
- Team Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Ethical AI: Implement rigorous testing and guardrails to ensure AI outputs are safe, unbiased, and compliant with evolving regulations.
- Collaboration: Partner with product managers and stakeholders to translate complex AI concepts into user-friendly solutions.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field (or equivalent industry experience).
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and modern Deep Learning frameworks.
- Experience: 5+ years of experience in building and deploying production-grade Machine Learning systems.
- 2026 Readiness: Demonstrated experience with LLMs (e.g., GPT-4, Llama), Vector Databases, and RAG (Retrieval-Augmented Generation) architectures.
- Problem Solving: Ability to tackle complex, undefined problems and design robust, fault-tolerant systems.
- Communication: Excellent verbal and written communication skills, with the ability to present technical concepts to non-technical audiences.