Job Description
Are you ready to architect the intelligence of tomorrow? OmniStream Technologies is seeking a visionary Lead AI Architect (2026 Vision) to spearhead our research into next-generation generative models and autonomous systems. In this pivotal role, you will define the technical roadmap for our AI infrastructure, ensuring we stay ahead of the curve in a rapidly evolving landscape. If you are passionate about pushing the boundaries of what's possible with Large Language Models (LLMs) and Computer Vision, we want to hear from you.
We offer a competitive compensation package, equity packages, and a collaborative environment that encourages innovation. Join us in building the AI foundation for the year 2026 and beyond.
Responsibilities
- Architect Scalable Systems: Design and implement robust, distributed AI infrastructure capable of handling petabyte-scale data processing and real-time inference.
- Model Optimization: Lead the optimization of transformer models and neural networks to reduce latency and improve inference efficiency by 40%+.
- R&D Leadership: Conduct cutting-edge research in multi-modal AI, reinforcement learning, and ethical AI guidelines to drive product innovation.
- Technical Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Strategic Planning: Collaborate with product managers to translate complex business requirements into scalable AI solutions.
- Deployment & MLOps: Oversee the end-to-end deployment of AI models using containerization (Docker/Kubernetes) and CI/CD pipelines.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, or a related field (PhD preferred).
- Experience: 5+ years of experience in machine learning, deep learning, or AI engineering roles, with at least 2 years in a leadership capacity.
- Programming: Expert-level proficiency in Python, PyTorch, or TensorFlow.
- Frameworks: Deep understanding of Hugging Face, LangChain, and modern MLOps tools (MLflow, Kubeflow).
- Problem Solving: Proven track record of solving complex engineering challenges in high-scale environments.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.