Job Description
Are you ready to define the future of intelligent systems? 2026 Global Systems is pioneering the next era of autonomous intelligence, and we are seeking a visionary Senior AI Architect to lead our core infrastructure. If you thrive in a high-performance environment and want to architect solutions that solve complex, global problems, this is your opportunity to shape the landscape of tomorrow.
Why Join Us?
- Work on groundbreaking projects that redefine industry standards.
- Competitive compensation package with equity options.
- Flexible remote-first culture with premium office amenities in the heart of SF.
The Role
As a Senior AI Architect at 2026, you will be responsible for designing and implementing scalable machine learning pipelines. You will bridge the gap between theoretical research and production-grade deployment, ensuring our systems are robust, efficient, and secure. You will mentor a team of talented engineers and drive technical strategy.
Responsibilities
- Architect Scalable Systems: Design and oversee the implementation of large-scale distributed AI systems capable of handling petabytes of data with low latency.
- Technical Leadership: Provide architectural guidance and mentorship to junior engineers and data scientists, fostering a culture of innovation and best practices.
- Model Optimization: Continuously refine and optimize machine learning models to improve accuracy, reduce inference costs, and enhance performance.
- Collaborative Engineering: Partner with cross-functional teams—including product management, data engineering, and security—to define technical requirements and roadmaps.
- Future-Proofing: Stay ahead of emerging trends in AI, LLMs, and edge computing to ensure 2026 Global Systems remains at the forefront of technology.
Qualifications
- Education: Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s degree or PhD is a strong plus.
- Experience: Minimum of 7+ years of experience in software engineering with a focus on machine learning and artificial intelligence.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, or similar ML frameworks. Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Problem Solving: Proven track record of delivering complex technical solutions in fast-paced environments.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and leadership.