Design and architect advanced assistant and agentic frameworks by using the latest LLMs, VLLMs, and MLLMs.
Oversee technical strategy for the development of scalable platforms supporting diverse applications, with a focus on image and multimedia domains.
Collaborate effectively with product, research, engineering, and design teams to ensure architectural alignment with business objectives and user requirements.
Mentor and guide a team of engineers and scientists, promoting innovation and maintaining high standards of technical excellence.
Drive innovation by staying ahead of SOTA technologies in generative AI, multimodal models, and agentic systems.
Transform conceptual designs into scalable, production-ready solutions that create meaningful impact for users.
Communicate clearly with partners at all levels, including executives and technical peers, tailoring messages to various audiences.
Define and implement the vision, roadmap, and architecture for agent orchestration, tool usage, memory, and scalable evaluation—ensuring all solutions are robust, scalable, and aligned with both business and user goals.

10+ years of industry experience in software architecture, AI systems, or related fields.
A Graduate degree or equivalent experience in Computer Science, Artificial Intelligence, or related field.
Demonstrated expertise in developing and implementing assistant or autonomous systems on a large scale.
Deep understanding of transformer-based models, LLMs, VLLMs, MLLMs, and multimodal learning.
Strong background in distributed systems, cloud infrastructure, and scalable platform design.
Excellent leadership, communication, and collaboration skills.
Track record of delivering innovative solutions from concept to production.

Technical Architect – Agentic Systems, Assistant Platforms

Key skills