Job Description
Are you ready to architect the future of intelligent systems? OmniFuture Technologies is pioneering the next generation of Artificial General Intelligence and is seeking a visionary Senior AI Architect to lead our 2026 roadmap. In this pivotal role, you will design scalable, robust, and ethical AI frameworks that define the industry standard for the coming decade.
We are looking for a thought leader who thrives in ambiguity and possesses a deep understanding of cutting-edge technologies. As part of our elite engineering team, you will bridge the gap between theoretical research and production-grade deployment, ensuring our solutions remain at the forefront of the 2026 technological landscape.
Why join us? We offer competitive compensation, equity packages, and the opportunity to work on projects that will change the world.
Responsibilities
- Define the 2026 Roadmap: Lead the strategic technical vision for our upcoming AI products, aligning long-term goals with market demands.
- System Architecture: Design and implement high-availability, distributed AI systems capable of processing petabytes of data in real-time.
- Model Optimization: Oversee the training and fine-tuning of Large Language Models (LLMs) and generative AI agents for specific enterprise applications.
- Team Leadership: Mentor junior engineers and architects, fostering a culture of innovation, code excellence, and continuous learning.
- R&D Integration: Collaborate with our research division to integrate novel breakthroughs from quantum computing and neuromorphic hardware into software architectures.
Qualifications
- Education: Master’s or PhD in Computer Science, Machine Learning, or a related field from a top-tier institution.
- Experience: 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture and deep learning.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and cloud-native architectures (AWS, GCP, or Azure).
- Future-Proofing: Demonstrated experience or strong interest in emerging technologies relevant to the 2026 era, such as edge computing, federated learning, or explainable AI (XAI).
- Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts for diverse stakeholders.