Job Description
Are you ready to architect the future of artificial intelligence? OmniCorp Technologies is seeking a visionary AI Systems Architect (Project 2026) to lead our next-generation generative AI framework. As we push the boundaries of what is possible in 2026 and beyond, you will be responsible for designing scalable, robust, and secure infrastructure that powers our cutting-edge products.
We are looking for a thought leader who can bridge the gap between theoretical research and production-grade engineering. If you are passionate about building systems that learn, reason, and evolve, we want to hear from you.
Responsibilities
- Define the high-level architecture and technical roadmap for Project 2026, ensuring scalability and performance at petabyte scale.
- Design and optimize large-scale distributed machine learning pipelines and inference engines.
- Collaborate with cross-functional teams of data scientists, researchers, and engineers to integrate novel AI models into production environments.
- Implement best practices for MLOps, including model versioning, A/B testing, and continuous deployment strategies.
- Ensure system reliability, security, and compliance with industry standards and data privacy regulations.
- Mentor junior engineers and conduct technical reviews to foster a culture of excellence and innovation.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field; PhD preferred.
- Minimum of 7+ years of experience in software engineering, with at least 3 years specifically in AI/ML systems architecture.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Docker, Apache Spark).
- Proven track record of designing and deploying large-scale LLMs (Large Language Models) or generative AI systems.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and serverless architectures.
- Experience with MLOps tools (MLflow, Airflow, Kubeflow) and CI/CD pipelines.