Job Description
Are you ready to define the technological landscape of 2026? OmniVerse Systems is seeking a visionary Advanced AI Architect to lead our next-generation neural infrastructure projects.
In this pivotal role, you won't just maintain systems; you will architect the future. We are building autonomous agents capable of reasoning in real-time, and we need a technical leader to guide our engineering team through the complexities of Generative AI, Edge Computing, and Quantum-ready algorithms.
Why join us? We offer competitive compensation, equity packages, and the chance to work on projects that will shape the decade ahead. If you thrive in a high-velocity environment and possess a deep understanding of machine learning at scale, we want to meet you.
Responsibilities
- Design and implement scalable, fault-tolerant AI architectures for autonomous systems.
- Lead the development of proprietary Large Language Models (LLMs) and neural network pipelines.
- Collaborate with cross-functional teams to translate complex business requirements into technical specifications.
- Optimize model performance and reduce inference latency for real-time applications.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Ensure data privacy, security, and ethical AI compliance across all deployments.
Qualifications
- Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- Minimum of 5 years of experience in machine learning engineering or AI architecture.
- Proficiency in Python, TensorFlow, PyTorch, and modern data science libraries.
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Demonstrated expertise in NLP, Computer Vision, or Reinforcement Learning.
- Exceptional problem-solving skills and ability to work in a fast-paced, remote-first environment.