Job Description
Are you ready to define the landscape of Artificial Intelligence in 2026?
Synthetix 2026 is on a mission to engineer the next evolution of human-machine interaction. We are not just building software; we are architecting the future. As a leading pioneer in the 2026 AI niche, we are seeking a visionary Senior AI Architect to lead our initiatives in Generative AI, Autonomous Systems, and Ethical AGI frameworks.
In this role, you will bridge the gap between theoretical research and production-scale deployment. You will be responsible for designing scalable neural architectures that anticipate the needs of the coming decade. If you are a technical leader who thrives in ambiguity and wants to shape the roadmap for 2026, we want to hear from you.
Why Join Us?
- Work on high-impact projects that redefine industry standards.
- Access to cutting-edge compute infrastructure and proprietary datasets.
- Competitive equity package for long-term growth.
Responsibilities
- Design and architect next-generation AI models and neural networks tailored for 2026 scalability requirements.
- Lead the research and implementation of Generative AI and Large Language Model (LLM) fine-tuning strategies.
- Optimize model inference latency and accuracy for real-time, high-volume applications.
- Establish best practices for MLOps, ensuring robust deployment pipelines and continuous integration.
- Collaborate with cross-functional teams of data scientists and engineers to translate research into market-ready products.
- Define ethical guidelines and safety protocols for autonomous AI agents.
- Mentor junior architects and engineers, fostering a culture of innovation and technical excellence.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related field (or equivalent extensive industry experience).
- 7+ years of professional experience in AI/ML engineering, with at least 3 years in a senior architectural role.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems.
- Proven track record of deploying large-scale machine learning models into production environments.
- Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
- Passion for the future of technology and a vision for the AI landscape in 2026.