Job Description
Are you ready to define the future of technology?
OmniLogic Systems is pioneering the next generation of cognitive interfaces. We are seeking a visionary Senior AI Architect to spearhead The 2026 Initiative, a strategic roadmap aimed at integrating quantum-ready neural networks with next-gen consumer hardware. You will work at the intersection of theoretical research and production-grade engineering, building the foundational models that will power the digital landscape of the next decade.
In this pivotal role, you will not just write code; you will define the architectural paradigms for autonomous systems and generative AI at scale. Join us in Silicon Valley to shape the reality of 2026 and beyond.
Responsibilities
- Architect scalable, fault-tolerant AI infrastructure specifically designed to meet the computational demands of the year 2026 and beyond.
- Lead the research and implementation of proprietary generative models and reinforcement learning algorithms.
- Collaborate with cross-functional teams of quantum physicists and hardware engineers to optimize model efficiency.
- Define and enforce best practices for data governance, model security, and ethical AI deployment.
- Mentor junior developers and data scientists, fostering a culture of innovation and technical excellence.
- Translate complex theoretical research into production-grade software components.
- Conduct rigorous performance testing and optimization to ensure real-time processing capabilities.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 8 years of experience in machine learning engineering and deep learning architecture.
- Proven expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Apache Spark, Ray).
- Strong understanding of large language models (LLMs) and transformer architectures.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Demonstrated ability to lead high-stakes projects with a focus on scalability and future-proofing.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.