Job Description
We are on a mission to define the technological landscape of 2026 and beyond. OmniStream Dynamics is seeking a visionary Lead AI Architect to spearhead the development of autonomous agent frameworks and next-generation generative AI infrastructure. In this pivotal role, you will bridge the gap between theoretical research and production-grade engineering, building scalable systems that power the future of enterprise automation.
Join a world-class team of engineers, researchers, and product strategists committed to pushing the boundaries of what is possible in artificial intelligence. You will have the autonomy to architect robust pipelines, mentor junior talent, and directly influence the roadmap of our core AI products.
Responsibilities
- Architect Scalable AI Infrastructure: Design and implement end-to-end machine learning pipelines for large-scale LLMs and multimodal agents.
- Lead Research & Development: Drive innovation in model fine-tuning, reinforcement learning, and prompt engineering strategies.
- Optimize Performance: Engineer systems that maximize inference speed and minimize latency for real-time applications.
- Implement MLOps Best Practices: Establish CI/CD pipelines, version control, and monitoring frameworks for production models.
- Collaborate with Cross-Functional Teams: Partner with product managers and data scientists to translate business requirements into technical solutions.
- Ensure Security & Compliance: Architect systems that adhere to strict data privacy and security standards.
- Mentorship: Guide a team of senior engineers and architects in advanced AI methodologies.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Technical Expertise: Deep proficiency in Python, PyTorch, TensorFlow, or JAX.
- Experience: 7+ years of experience in software engineering and machine learning architecture.
- Domain Knowledge: Proven track record of deploying large-scale AI models in production environments.
- Cloud Proficiency: Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Problem Solving: Exceptional ability to debug complex distributed systems and optimize algorithms.
- Communication: Excellent verbal and written communication skills for technical documentation and stakeholder presentations.