Solutions Architect

2 weeks ago

New Delhi, India Intellectt Inc Full time

Job Description: AI Solution ArchitectLocation: HyderabadWork Mode: Hyd 5 days OfficeExperience: 12+ yearsPosition 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:- 12+ years of total experience, with extensive tenure as a Solution Architect in AI and cloud-driven transformations.Hands-on experience with:- Generative AI, LLMs, Prompt Engineering, LangChain, AutoGen, Vertex AI, AWS Bedrock - Python, Java (Spring Boot, Spring AI), PyTorch - Vector & Graph Databases: ElasticSearch, Solr, Neo4j - Cloud Platforms: AWS, Azure, GCP (CAF, serverless, containerization) - DevSecOps: SonarQube, OWASP, oAuth2, container security - Strong background in application modernization, cloud-native architecture, and MLOps orchestration. - Familiarity with front-end technologies: HTML, JavaScript, Angular, JQuery.

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