Solutions Architect

3 weeks ago

Hyderabad Telangana India, Telangana Intellectt Inc Full time

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:

  • 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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