Job Description
We are on the precipice of the next technological evolution. At OmniVerse Technologies, we are not just building software; we are architecting the neural infrastructure for the year 2026 and beyond. We are seeking a visionary Lead AI Architect to spearhead our Horizon Initiative, focusing on scalable, autonomous AI systems designed for the global future.
In this role, you will bridge the gap between theoretical machine learning breakthroughs and robust, production-grade infrastructure. You will lead a team of elite engineers in deploying next-gen Large Language Models and reinforcement learning agents. If you are driven by the challenge of building systems that will define the future of human-computer interaction, this is your stage.
Responsibilities
- Architect Future-Proof Systems: Design and implement high-availability, fault-tolerant AI infrastructure capable of handling petabyte-scale data streams and real-time inference.
- Lead the Horizon Initiative: Spearhead R&D projects focused on AGI (Artificial General Intelligence) readiness and quantum-AI hybrid architectures.
- Optimize Neural Performance: Collaborate with hardware teams to maximize inference efficiency on next-gen TPUs and edge computing devices.
- Technical Mentorship: Cultivate a culture of excellence, mentoring senior engineers and fostering innovation within the AI research division.
- Strategic Roadmap: Define the technical vision and 5-year roadmap for our AI product suite, ensuring alignment with 2026 market trends.
- Security & Compliance: Implement rigorous security protocols to protect sensitive neural network weights and proprietary data models.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence or Computational Neuroscience.
- Experience: 8+ years of experience in software engineering, with at least 5 years in a leadership role architecting large-scale machine learning systems.
- Technical Proficiency: Deep expertise in Python, TensorFlow, PyTorch, and distributed systems (Kubernetes, Docker).
- Future-Forward Thinking: Demonstrated ability to research and implement cutting-edge algorithms, specifically in Generative AI or Reinforcement Learning.
- Communication: Exceptional ability to translate complex technical concepts into actionable business strategies for stakeholders.
- Problem Solving: Proven track record of solving critical performance bottlenecks in high-latency environments.