Generative AI Architect - LLM Modules

Description :

Work on the Implementation and Solution delivery of the AI applications leading the team across onshore / offshore and should be able to cross-collaborate across all the AI streams.

• Design end-to-end AI applications, ensuring integration across multiple commercial and open source tools.
• Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications.
• Partner with product management to design agile project roadmaps, aligning technical strategy. Work along with data engineering teams to ensure smooth data flows, quality, and governance across data sources.
• Lead the design and implementations of reference architectures, roadmaps, and best practices for AI applications.
• Fast adaptability with the emerging technologies and methodologies, recommending proven innovations.
• Identify and define system components such as data ingestion pipelines, model training environments, continuous integration / continuous deployment (CI / CD) frameworks, and monitoring systems.
• Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance.
• Ensure the implementation supports scalability, reliability, maintainability, and security best practices.
• Have Quality by Desgin mindset and approach
• Expertise on C# or Python
• Expertise in ML and understanding, fine tuning LLMs / SLMs

Qualifications :

(ref : hirist.tech)