Job Description
We are seeking a visionary Lead AI Architect to define the strategic direction of our 2026 technology roadmap. As a pivotal member of our R&D division, you will be responsible for architecting the next generation of generative intelligence systems that will power the enterprise of tomorrow. This is an opportunity to work on cutting-edge projects that push the boundaries of what is possible in artificial intelligence.
In this role, you will lead a team of elite engineers and researchers, ensuring our solutions are scalable, ethical, and at the forefront of industry innovation.
Responsibilities
- Define the 2026 Vision: Lead the architectural design and strategy for our flagship AI products, ensuring alignment with long-term business goals.
- Model Development: Spearhead the research and implementation of advanced Large Language Models (LLMs) and multimodal systems.
- Team Leadership: Mentor and manage a high-performance team of data scientists and ML engineers, fostering a culture of innovation and excellence.
- Technical Oversight: Ensure code quality, system scalability, and robustness across all AI deployment pipelines.
- Stakeholder Collaboration: Translate complex technical concepts into clear strategies for non-technical stakeholders and executive leadership.
- R&D Integration: Stay ahead of the curve by integrating the latest breakthroughs in neural architecture search and reinforcement learning.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: Minimum of 7+ years of experience in software engineering, with at least 4 years specifically in machine learning architecture and deployment.
- Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems.
- Strategic Mindset: Proven track record of defining technical roadmaps and leading cross-functional teams to deliver complex projects on time.
- Communication: Exceptional ability to communicate complex technical ideas to diverse audiences.
- Problem Solving: Demonstrated ability to troubleshoot complex, large-scale system issues and drive innovative solutions.