Job Description
The 2026 Horizon Opportunity: OmniVerse Systems is pioneering the next generation of artificial intelligence infrastructure. We are seeking a visionary Future-Ready AI Integration Lead to architect scalable solutions that bridge the gap between current capabilities and the technological landscape of 2026 and beyond.
In this role, you will define the technical roadmap for our upcoming AI ecosystems, ensuring our platforms are robust, secure, and adaptable to rapid advancements in neural processing and quantum-ready algorithms.
Why Join Us?
- Work on cutting-edge projects that define the future of tech.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a San Francisco hub.
Responsibilities
- Architect end-to-end AI pipelines optimized for high-throughput data processing and low-latency inference.
- Lead the integration of Generative AI models with legacy enterprise systems, ensuring seamless interoperability.
- Define and enforce architectural standards for security, scalability, and reliability in AI deployments.
- Collaborate with data scientists and software engineers to translate research prototypes into production-grade software.
- Conduct technical feasibility studies for emerging technologies (e.g., neuromorphic computing) relevant to 2026 roadmaps.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 6 years of experience in full-stack software engineering with a focus on AI/ML systems.
- Deep proficiency in Python, TensorFlow, PyTorch, and modern cloud-native technologies (AWS, GCP, or Azure).
- Proven track record of leading cross-functional teams and managing complex technical projects.
- Experience with MLOps practices, containerization (Docker/Kubernetes), and CI/CD pipelines.