Job Description
Shape the Future with the 2026 Stack
OmniTech Solutions is pioneering the next generation of artificial intelligence infrastructure. We are seeking a visionary Senior AI Architect to lead the development and deployment of our proprietary 2026 Stack—a revolutionary framework designed to redefine scalability and efficiency in deep learning environments. You will work at the intersection of algorithmic innovation and system engineering, ensuring our solutions are robust, secure, and ready for the future.
Why Join Us?
- Work on cutting-edge technology that is setting the industry standard for 2026 and beyond.
- Competitive compensation package including equity options and annual bonuses.
- Flexible remote-first policy with access to premium tech hubs.
Ready to architect the impossible? Apply today.
Responsibilities
- Lead Architecture: Design and oversee the implementation of the 2026 Stack, ensuring high availability and fault tolerance across distributed systems.
- Optimization: Drive performance tuning for neural networks and large-scale data pipelines, reducing latency by 40%.
- Team Mentorship: Guide a team of junior engineers and data scientists in best practices for modern cloud-native development.
- R&D Collaboration: Partner with the research team to translate theoretical AI models into production-ready code.
- Security Compliance: Implement rigorous security protocols to protect proprietary data and ensure compliance with GDPR and SOC2 standards.
Qualifications
- Experience: 7+ years of experience in software engineering, with at least 3 years specifically focused on AI infrastructure or high-performance computing.
- Technical Skills: Proficiency in Python, Rust, or Go; deep knowledge of TensorFlow, PyTorch, or the 2026 proprietary framework.
- Cloud Mastery: Expert-level experience with AWS, GCP, or Azure Kubernetes Service (EKS/GKE).
- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- Problem Solving: Demonstrated ability to solve complex scalability issues under high-pressure deadlines.