Job Description
Join the Future at 2026 Inc.
Are you ready to architect the next generation of intelligent systems? At 2026 Inc., we are building the technologies that will define the world in 2026 and beyond. We are looking for a visionary Senior AI Architect to lead our research and development division.
As a Senior AI Architect, you will be at the forefront of innovation, designing scalable machine learning infrastructure and integrating cutting-edge AI solutions into our core products. You will work alongside world-class engineers and data scientists to solve complex problems and push the boundaries of what is possible.
Why Join Us?
- Competitive salary and equity package.
- Health, dental, and vision insurance.
- Unlimited PTO and flexible remote work options.
- Access to the latest hardware and cloud infrastructure.
If you are passionate about AI and want to make a tangible impact on the future, we want to hear from you.
Responsibilities
- Design and architect scalable, high-performance AI systems and machine learning pipelines.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define technical requirements.
- Implement and optimize algorithms for real-time data processing and decision-making.
- Mentor junior architects and engineers, fostering a culture of technical excellence.
- Stay abreast of the latest advancements in artificial intelligence, deep learning, and edge computing.
- Ensure system reliability, security, and scalability in production environments.
- Conduct code reviews and technical architecture evaluations.
Qualifications
- Master’s or Ph.D. degree in Computer Science, Mathematics, or a related field.
- Minimum of 7 years of experience in software engineering and AI/ML architecture.
- Strong proficiency in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
- Proven experience designing distributed systems using cloud platforms like AWS, GCP, or Azure.
- Expert knowledge of data structures, algorithms, and software design patterns.
- Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
- Experience with MLOps tools (Kubeflow, MLflow) is highly preferred.