Job Description
We are seeking a visionary Lead AI Architect to define the technological roadmap for 2026 and beyond. At Nexus Future Systems, we are building the next generation of autonomous agents and generative intelligence platforms. You will lead a team of elite engineers and data scientists to pioneer breakthroughs in Large Language Models (LLMs) and multi-modal AI systems. If you are passionate about shaping the future of technology and want to solve the most complex challenges in AI scalability and ethics, this is your opportunity.
Why Join Us?
- Work on cutting-edge AI infrastructure that powers the future.
- Competitive compensation and equity package.
- Flexible remote-first policy with access to world-class amenities.
Key Responsibilities:
- Define and execute the 2026 AI Strategy, aligning technical roadmaps with business objectives.
- Architect scalable, high-performance ML pipelines for training and inference.
- Lead research and development in Generative AI, NLP, and Computer Vision.
- Mentor a diverse team of engineers, fostering a culture of innovation and technical excellence.
- Ensure AI systems are robust, secure, and compliant with global regulations.
Qualifications:
- Master’s or Ph.D. in Computer Science, AI, or a related field.
- 10+ years of experience in software engineering and machine learning.
- Deep expertise in Python, PyTorch, TensorFlow, and Hugging Face.
- Proven track record of deploying large-scale AI models in production environments.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP), and MLOps.
Responsibilities
- Define and execute the 2026 AI Strategy, aligning technical roadmaps with business objectives.
- Architect scalable, high-performance ML pipelines for training and inference.
- Lead research and development in Generative AI, NLP, and Computer Vision.
- Mentor a diverse team of engineers, fostering a culture of innovation and technical excellence.
- Ensure AI systems are robust, secure, and compliant with global regulations.
Qualifications
- Master’s or Ph.D. in Computer Science, AI, or a related field.
- 10+ years of experience in software engineering and machine learning.
- Deep expertise in Python, PyTorch, TensorFlow, and Hugging Face.
- Proven track record of deploying large-scale AI models in production environments.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP), and MLOps.