Job Description
Are you ready to define the future of technology? 2026 Innovations is a pioneering force in next-generation AI and predictive intelligence. We are looking for a visionary Senior AI Architect to join our elite engineering team in San Francisco.
In this role, you will be at the forefront of the AI revolution, designing scalable neural architectures that power our global platforms. We don't just predict the future; we engineer it. If you possess a deep understanding of machine learning at scale and a passion for pushing the boundaries of what's possible, we want to hear from you.
Join us in building the infrastructure for the year 2026 and beyond.
Responsibilities
- Architect and deploy scalable machine learning infrastructure capable of processing petabytes of data.
- Lead the research and development of proprietary Large Language Models (LLMs) and Generative AI solutions.
- Mentor and guide a high-performing team of data scientists and software engineers.
- Collaborate closely with product and business stakeholders to translate complex requirements into technical roadmaps.
- Optimize model performance, latency, and accuracy through rigorous experimentation and A/B testing.
- Establish and enforce best practices for MLOps, CI/CD, and code quality within the engineering department.
- Stay ahead of emerging trends in AI, including reinforcement learning and neural-symbolic integration.
Qualifications
- Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 7 years of experience in software engineering with a focus on machine learning and deep learning.
- Deep expertise in Python, PyTorch, TensorFlow, and modern ML frameworks.
- Proven experience deploying LLMs and NLP solutions in high-traffic production environments.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization technologies (Docker/Kubernetes).
- Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences.