Job Description
Are you ready to define the future of artificial intelligence infrastructure? OmniVerse Technologies is seeking a visionary Lead AI Architect to spearhead our strategic roadmap for the 2026 era. In this pivotal role, you will bridge the gap between cutting-edge research and scalable production systems, ensuring our platforms remain at the forefront of the AI revolution.
Why Join Us?
Work with a team of world-class engineers and researchers. We offer a competitive equity package, remote-first flexibility, and the opportunity to shape the industry standard for AI deployment in 2026 and beyond.
Key Responsibilities
- Strategic Roadmapping: Define the long-term technical vision and architecture for our AI core, specifically focusing on scalability and efficiency targets for the 2026 timeframe.
- System Design: Architect high-performance, fault-tolerant distributed systems capable of handling petabyte-scale data streams.
- Cross-Functional Leadership: Mentor senior engineers and collaborate with product and research teams to translate complex AI models into robust, user-centric solutions.
- Technology Evaluation: Evaluate emerging technologies (e.g., quantum-ready algorithms, next-gen hardware accelerators) to ensure our stack is future-proof.
- Performance Optimization: Drive initiatives to reduce inference latency and improve model throughput by 40% year-over-year.
- Culture of Innovation: Foster a culture of continuous learning and technical excellence within the engineering department.
Qualifications
- Education: MS or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in software engineering, with at least 4 years in a lead or architect role.
- Technical Expertise: Deep understanding of machine learning frameworks (TensorFlow, PyTorch), distributed computing (Kubernetes, Docker), and cloud infrastructure (AWS, GCP).
- Strategic Mindset: Proven ability to plan for long-term architectural shifts and adapt to rapidly evolving technology landscapes.
- Communication: Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Problem Solving: Demonstrated history of solving critical system bottlenecks and architectural challenges.
Apply today to help us build the AI infrastructure of tomorrow.
Responsibilities
- Define the long-term technical vision and architecture for our AI core, specifically focusing on scalability and efficiency targets for the 2026 timeframe.
- Architect high-performance, fault-tolerant distributed systems capable of handling petabyte-scale data streams.
- Mentor senior engineers and collaborate with product and research teams to translate complex AI models into robust, user-centric solutions.
- Evaluate emerging technologies (e.g., quantum-ready algorithms, next-gen hardware accelerators) to ensure our stack is future-proof.
- Drive initiatives to reduce inference latency and improve model throughput by 40% year-over-year.
- Foster a culture of continuous learning and technical excellence within the engineering department.
Qualifications
- MS or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- 8+ years of experience in software engineering, with at least 4 years in a lead or architect role.
- Deep understanding of machine learning frameworks (TensorFlow, PyTorch), distributed computing (Kubernetes, Docker), and cloud infrastructure (AWS, GCP).
- Proven ability to plan for long-term architectural shifts and adapt to rapidly evolving technology landscapes.
- Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Demonstrated history of solving critical system bottlenecks and architectural challenges.