Job Description
We are seeking a visionary Lead AI Architect to join our elite engineering team dedicated to the development of our flagship product releasing in 2026. At Project 2026, we are building the next generation of autonomous decision-making systems that will redefine human-machine interaction. You will be at the forefront of Generative AI, working on cutting-edge Large Language Models (LLMs) optimized for real-time, ethical, and scalable deployment.
In this pivotal role, you will lead the architecture of our proprietary neural frameworks, ensuring they are robust, secure, and capable of handling petabyte-scale data streams. You will collaborate with a cross-functional team of neuroscientists, ethicists, and full-stack developers to bring the 2026 vision to life.
Why join Project 2026?
- Work on technology that will shape the future of the industry.
- Competitive equity package with a focus on long-term growth.
- Flexible remote-first culture with access to top-tier hardware labs.
Responsibilities
- Architect Core Models: Design and implement scalable neural network architectures for our proprietary LLMs, focusing on efficiency and reduced hallucination rates.
- System Optimization: Lead efforts in model quantization, pruning, and inference optimization to ensure low-latency deployment on edge devices.
- R&D Leadership: Conduct cutting-edge research into multimodal learning and reinforcement learning agents to advance our 2026 roadmap.
- Team Mentorship: Mentor a team of junior data scientists and ML engineers, fostering a culture of innovation and technical excellence.
- Infrastructure Management: Oversee the deployment pipeline using Kubernetes and containerization technologies to manage model versioning and A/B testing.
- Compliance & Ethics: Ensure all AI systems adhere to strict ethical guidelines and regulatory standards for AI safety.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field, with a focus on Machine Learning or Artificial Intelligence.
- Experience: 7+ years of experience in AI/ML engineering, with at least 3 years in a leadership or senior architect role.
- Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of distributed systems and cloud architecture (AWS/GCP).
- Specialization: Extensive knowledge of Transformer models, attention mechanisms, and NLP pipelines.
- Problem Solving: Proven track record of solving complex mathematical problems and optimizing large-scale computational workflows.
- Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts to non-technical stakeholders.