Job Description
We are seeking a visionary Senior Generative AI Architect to lead the next wave of artificial intelligence evolution. As we prepare for the 2026 technological landscape, you will be at the forefront of developing autonomous agents, multimodal models, and ethical AI frameworks that will shape the future of human interaction.
Our Vision:
To build intelligent systems that not only understand language but anticipate needs, solve complex problems, and operate within a safe, ethical boundary. You will work in a high-performance environment that prioritizes innovation, technical excellence, and strategic foresight.
Responsibilities
- Architect Development: Design and implement cutting-edge generative model architectures (LLMs, Diffusion Models) optimized for performance and scalability.
- Research & Innovation: Lead R&D initiatives into emerging paradigms such as self-supervised learning and embodied AI.
- Model Optimization: Engineer efficient inference pipelines to reduce latency and computational costs for real-time deployment.
- Ethical AI Compliance: Establish and enforce rigorous safety guidelines, bias mitigation strategies, and alignment protocols for all deployed models.
- Technical Leadership: Mentor a team of top-tier machine learning engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Stakeholder Collaboration: Bridge the gap between complex technical concepts and business strategy to deliver impactful AI solutions.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 7+ years of experience in machine learning, deep learning, or NLP with a focus on generative models.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, or JAX; deep understanding of transformer architectures and attention mechanisms.
- Production Experience: Demonstrated history of deploying large-scale ML models into production environments.
- Problem Solving: Exceptional ability to troubleshoot complex system failures and optimize algorithmic efficiency.
- Communication: Excellent verbal and written communication skills with the ability to present technical concepts to diverse audiences.