Job Description
Are you ready to define the trajectory of humanity's technological future? Omni Future Systems is seeking a visionary Senior AI Architect to spearhead our flagship Project 2026. We are building the next generation of adaptive intelligence systems that will integrate seamlessly into the daily lives of millions.
In this pivotal role, you will not just be writing code; you will be architecting the very foundation of our future ecosystem. You will lead a world-class team of engineers and data scientists, pushing the boundaries of what is possible in Artificial General Intelligence (AGI) and advanced robotics.
Why Join Us?
- Shape the future of technology with a forward-thinking mission.
- Competitive salary and equity package.
- Access to cutting-edge hardware and research facilities.
- Flexible remote-first culture with a hub in vibrant Austin, TX.
If you are a technical leader passionate about solving the unsolvable, we want to hear from you.
Responsibilities
- Define the high-level architecture and technical roadmap for Project 2026, ensuring scalability, security, and performance.
- Lead the design and implementation of advanced machine learning models and neural networks capable of complex reasoning.
- Collaborate with product managers, researchers, and engineers to translate business goals into technical solutions.
- Mentor and coach a team of senior engineers and data scientists, fostering a culture of innovation and excellence.
- Ensure ethical AI practices and compliance with international data protection regulations.
- Prototype and validate new technologies, including quantum computing interfaces and edge AI processing.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Robotics, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years in a senior architecture or leadership role.
- Deep expertise in Python, C++, and TensorFlow or PyTorch.
- Proven track record of designing systems that handle massive scale and high concurrency.
- Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Strong understanding of machine learning algorithms, natural language processing (NLP), and computer vision.