Job Description
We are seeking a visionary Senior AI Architect to lead our groundbreaking 2026 Vision Initiative. At OmniFuture, we are not just predicting the future; we are engineering it. You will be responsible for designing the next generation of autonomous systems and generative AI frameworks that will define the technological landscape of the decade. If you are a technical leader passionate about pushing the boundaries of machine learning and scalable infrastructure, we want to hear from you.
Why Join OmniFuture?
- Work on cutting-edge projects that have a global impact.
- Competitive compensation and comprehensive benefits package.
- Access to state-of-the-art hardware and research facilities.
- A culture of innovation that encourages risk-taking and creative problem-solving.
Responsibilities
- Strategic Leadership: Define the technical roadmap and architectural vision for the 2026 AI ecosystem, ensuring scalability and long-term feasibility.
- System Design: Architect complex, distributed machine learning systems and high-performance computing environments.
- Model Development: Lead the research and implementation of state-of-the-art neural networks and large language models.
- Team Mentorship: Guide a team of brilliant engineers and data scientists, fostering a culture of continuous learning and excellence.
- Cross-Functional Collaboration: Partner with product managers and stakeholders to translate business requirements into robust technical solutions.
- Optimization: Drive performance optimization and reduce inference latency for real-time AI applications.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- Experience: Minimum of 7 years of experience in software engineering, with at least 4 years focused on AI/ML architecture and systems design.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
- Leadership: Demonstrated experience leading high-performance engineering teams and managing large-scale projects.
- Problem Solving: Strong ability to troubleshoot complex architectural challenges and think critically about system trade-offs.
- Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.