Job Description
Are you ready to architect the future? OmniVerse Technologies is seeking a visionary Senior AI Architect to lead our initiatives focused on the 2026 technology roadmap. In this pivotal role, you will define the architectural strategies that will power our next-generation generative AI platforms, ensuring scalability, security, and innovation for the years ahead.
We are not just building software for today; we are engineering the infrastructure for tomorrow. If you have a deep understanding of Large Language Models (LLMs), Computer Vision, and distributed systems, we want to hear from you.
Why Join Us?
• Work on cutting-edge AI projects that define the next era of technology.
• Competitive compensation and equity package.
• Flexible remote and hybrid work options.
Responsibilities
- Define and execute the technical vision for our 2026 product roadmap, focusing on autonomous agents and predictive analytics.
- Design scalable, fault-tolerant microservices architectures using Python, Rust, and Go.
- Lead the integration of cutting-edge AI models into production environments with a focus on low-latency inference.
- Mentor a team of talented data scientists and engineers, fostering a culture of innovation and excellence.
- Collaborate with product managers to translate complex business requirements into robust technical solutions.
- Conduct rigorous code reviews and architectural assessments to ensure code quality and system integrity.
Qualifications
- Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
- 10+ years of experience in software engineering, with at least 5 years in a leadership or architect role.
- Deep expertise in Machine Learning frameworks such as PyTorch, TensorFlow, or JAX.
- Proven track record of deploying large-scale AI systems in high-traffic environments.
- Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.