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Job Type: Full Time
Job Category: IT
Job Description
GEN AI Solution Architect
Product Roadmap & Modular Design - Define the product vision and roadmap for reusable Gen AI modules (e.g., RAG, prompting frameworks, hybrid ML/LLM systems). - Architect parameterized, business-agnostic solutions that abstract complexity (e.g., pre-configured prompts, vector DB connectors, chunking logic
Design APIs and microservices to expose modules as reusable components (e.g., "text-to-SQL service," "RAG-as-a-service").
Technical Leadership - Standardize patterns (e.g., prompt templates, chunking strategies, few-shot training pipelines) across use cases
Integrate LLM workflows (e.g., OpenAI, Claude) with traditional ML (clustering, classification) and enterprise systems (databases, UI tools). - Optimize performance of Gen AI components (cost, latency, accuracy) and ensure scalability (e.g., load balancing for vector DBs).
Familiarity with text-to-SQL systems, few-shot/chain-of-thought prompting, and traditional ML(clustering with scikit-learn, PyTorch). - Software Engineering: -
Proficiency in Python, API design (FastAPI, Flask), and cloud platforms (AWS Sagemaker, Azure AI). - Experience with CI/CD, containerization (Docker), and infrastructure-as-code (Terraform).
Required Skills
PERFORMANCE ARCHITECT
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