Gen AI Architect

Design and implement high-impact GenAI Agentic AI strategies to drive business automation and reasoning capabilities.
Select, fine-tune, and optimize high-performance open-source Large Language Models such as Llama variants.
Architect and integrate robust Retrieval Augmented Generation (RAG) frameworks for scalable enterprise knowledge systems.
Manage complex product development cycles as a Gen AI Program Manager to ensure timely delivery schedules.
Oversee the secure orchestration and provisioning of infrastructure grids optimized for heavy LLM operations.
Build automated testing, prompt validation workflows, and data security gates for model outputs.
Partner with executive stakeholders to translate high-level business logic into production-ready agent workflows.

Degree in Engineering, Computer Science, Data Science, or a quantitative mathematical stream.
1-3 years of professional technology experience, featuring deep expertise in advanced machine learning applications.
Proven track record in agentic framework development, RAG systems, and open-source LLM optimization.
Strong knowledge of modern cloud environments, data pipelines, and distributed vector computing blocks.
Exceptional communication and cross-functional management skills tailored for a hybrid program execution environment.