Artificial Intelligence Architect - Data Modeling

Key Responsibilities :

• Design and architect AI / ML solutions, including Generative AI, Retrieval-Augmented Generation (RAG), and fine-tuning of Large Language Models (LLMs) using frameworks like LangChain, LangGraph, and Hugging Face.
• Implement cloud migration strategies for monolithic systems to microservices / serverless architectures using AWS, Azure, and GCP.
• Lead development of document automation systems leveraging models such as BART, LayoutLM, and Agentic AI workflows.
• Architect and optimize data lakes, ETL pipelines, and analytics dashboards using Databricks, PySpark, Kibana, and MLOps tools.
• Build centralized search engines using ElasticSearch, Solr, and Neo4j for intelligent content discovery and sentiment analysis.
• Ensure application and ML pipeline security with tools like OWASP ZAP, SonarQube, WebInspect, and container security tools.
• Collaborate with InfoSec and DevOps teams to maintain CI / CD pipelines, perform vulnerability analysis, and ensure compliance.
• Guide modernization initiatives across app stacks and coordinate BCDR-compliant infrastructures for mission-critical services.
• Provide technical leadership and mentoring to engineering teams during all phases of the Skills & Qualifications :
• 12+ years of total experience, with extensive tenure as a Solution Architect in AI and cloud-

driven experience with :

orchestration.

(ref : hirist.tech)