Data Architect - Generative AI

Key Responsibilities :

• Define and architect scalable solutions involving Generative AI, Retrieval-Augmented Generation (RAG), and LLMOps workflows.
• Lead the design and implementation of microservices-based, event-driven architectures leveraging REST APIs and API governance best practices.
• Collaborate with global teams and stakeholders to ensure architectural alignment and successful delivery of solutions to production.
• Provide strong technical leadership and mentorship to development teams.
• Hands-on development using Python frameworks such as Django, Flask, or FastAPI when required.
• Implement and optimize GenAI solutions utilizing Vertex AI, OpenAI, vector databases, and other LLM-based models.
• Leverage GCP technologies including Cloud Build, AutoML, Cloud Code, and foundational cloud services to build robust AI architectures.
• Apply Object-Oriented Analysis and Design (OOAD) principles in system design.
• Understand and integrate frontend technologies such as JavaScript and HTML5 when necessary.
• Quickly adapt to new tools, technologies, and evolving AI trends to drive innovation and improvement.

Mandatory Skills :

Preferred Skills :

(ref : hirist.tech)