Solutions Architect

Job Description : AI Solution Architect

Location : Hyderabad

Work Mode : Hyd 5 days Office

Experience : 12+ years

Position Overview :

We are seeking an experienced AI Solution Architect to lead the design and implementation of AI-driven, cloud-native applications. The ideal candidate will possess deep expertise in Generative AI, Agentic AI, cloud platforms (AWS, Azure, GCP), and modern data engineering practices. This role involves collaborating with cross-functional teams to deliver scalable, secure, and intelligent solutions in a fast-paced, innovation-driven environment.

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 SDLC.

Required Skills & Qualifications :

Hands-on experience with :