Architect Jobs

About The Position

Requirements

• Advanced degree (Ph.D. preferred) in Computer Science, Artificial Intelligence, or a related field.
• 12+ years of experience designing and implementing AI systems.
• Understanding of Machine Learning and Deep Learning principles.
• Extensive experience with Large Language Models (LLMs) and Transformer architectures.
• Hands-on experience with multimodal models.
• Proficiency in programming languages such as Python.
• Experience with Machine Learning frameworks such as PyTorch.
• Strong understanding of vector databases and embedding models.
• Experience with knowledge graphs and knowledge base management.
• Familiarity with prompt engineering techniques and prompt optimization.

Nice To Haves

• Experience with MLOps practices and deploying AI models to production.
• Contributions to open-source AI projects.
• Publications in leading AI conferences or journals.
• Familiarity with Atlassian tools (Jira, Confluence)
• Excellent communication, interpersonal, and presentation skills, including clear descriptions and document generation, such as class diagrams, sequence diagrams, and protocol definitions.

Responsibilities

• Design and maintain the overall architecture of our AI systems, ensuring scalability, reliability, and performance.
• Possess in-depth knowledge of a wide range of AI models, including Large Language Models (LLMs), multimodal models (vision, speech, text), and their underlying principles.
• Architect and oversee the training and fine-tuning of AI models, including techniques like Supervised Fine-Tuning (SFT), LoRA (Low-Rank Adaptation), and prompt tuning.
• Lead the design and implementation of intelligent agents, encompassing components like intent understanding, task decomposition and planning, and tool calling (e.g., using MCP – Model Context Protocol).
• Design and implement robust knowledge management systems, including vector databases, reranking models and algorithms, and knowledge graphs.
• Select output sampling strategies to ensure high-quality, relevant, and coherent responses.
• Provide technical leadership and mentorship to engineering teams, guiding them through the implementation of complex AI solutions.
• Stay abreast of the latest advancements in AI research and identify opportunities to apply them to our products and services.
• Work closely with product management, data science, and engineering teams to define requirements and deliver innovative AI solutions.
• Create and maintain comprehensive documentation of the AI system architecture and components.

Benefits

• bonuses
• commissions