Director - AI Architecture

Job Description :

Key Responsibilities :

• Design and Oversee AI Architecture : Develop the overall architecture for the LLM, ensuring it meets business objectives.
• Technical Strategy and Roadmap : Define the technical strategy and create a roadmap for the project, aligning it with organizational goals.
• Technology Selection : Make high-level decisions on technology stack, frameworks, and tools to be used in the development and deployment of the LLM.
• Integration Management : Oversee the integration of various AI components, including data pipelines, model training environments, and deployment infrastructure.
• Risk Management : Identify potential technical risks in the project and develop strategies to mitigate them.
• Collaboration : Work closely with data scientists, engineers, domain experts, and stakeholders to ensure cohesive development and implementation.
• Innovation and Best Practices : Stay informed about the latest advancements in AI technology and implement best practices to enhance the LLM's capabilities.
• Research and Evaluation : Conduct comprehensive research on existing LLM architectures, including open source models like GPT, BERT, and domain-specific variants like Skills :
• Extensive AI / ML Experience : Deep knowledge of artificial intelligence and machine learning concepts, particularly in natural language processing (NLP) and large language models (LLMs).
• Software Architecture Expertise : Strong understanding of software architecture principles, including scalability, modularity, and security.
• Cloud Computing Proficiency : Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and distributed computing environments.
• Data Architecture Knowledge : Familiarity with data management practices, big data technologies, and data pipeline design.
• MLOps Experience : Understanding of MLOps practices for continuous integration, delivery, and monitoring of machine learning models.
• Leadership Skills : Strong leadership abilities to guide technical teams and communicate effectively with non-technical stakeholders.
• Problem-Solving Abilities : Excellent analytical skills to address complex technical challenges and devise innovative solutions.

(ref : hirist.tech)