GenAI Solution Architect

About the RoleJob Description – GenAI Solution Architect Role: GenAI Solution Architect Experience: 13–17 Years Location: PAN India Primary Skills: MERN Stack, Agentic AI, AWS Position Summary We are looking for an experienced GenAI Solution Architect with 13–17 years of experience in designing, architecting, and implementing enterprise-scale digital and AI solutions. The ideal candidate should have strong expertise in MERN Stack, Agentic AI, and AWS Cloud, with hands-on experience building scalable, cloud-native Generative AI applications and intelligent agent-based systems. The role involves leading architecture initiatives, defining technical roadmaps, mentoring engineering teams, and delivering innovative AI-driven solutions that address complex business challenges.ResponsibilitiesKey ResponsibilitiesArchitect and design enterprise-grade Generative AI and Agentic AI solutions.Develop intelligent multi-agent systems using Agentic AI frameworks.Design and implement scalable cloud-native architectures on AWS.Build AI-powered applications using MERN Stack technologies.Design Retrieval-Augmented Generation (RAG) and Agentic AI workflows.Define solution architecture, integration patterns, and deployment strategies.Lead technical discussions with business stakeholders and customers.Drive architecture governance, security, scalability, and performance optimization.Mentor development teams and establish engineering best practices.Collaborate with Data Scientists, Product Teams, Cloud Engineers, and Business Leaders.Evaluate emerging AI technologies and provide strategic recommendations.Architectural ResponsibilitiesDefine enterprise AI and cloud architecture standards.Design scalable and secure distributed systems.Establish best practices for GenAI application development.Ensure highly available and resilient cloud architectures.Lead architecture reviews and technical governance activities.Support pre-sales and solutioning engagements.Leadership ResponsibilitiesLead cross-functional engineering teams.Mentor developers and technical leads.Conduct architecture reviews and technical assessments.Drive innovation and solution accelerators.Partner with senior stakeholders and leadership teams.Provide technical direction for strategic initiatives.QualificationsEducational Qualification Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.Required SkillsGenerative AI & Agentic AIHands-on experience with:Agentic AI FrameworksAutoGenCrewAILangGraphLangChainLlamaIndexSemantic KernelMulti-Agent OrchestrationExperience building:AI AgentsAutonomous WorkflowsEnterprise CopilotsConversational AI SolutionsRAG-Based ApplicationsExpertise in:Prompt EngineeringVector DatabasesEmbedding ModelsKnowledge Retrieval SystemsAI GuardrailsMERN Stack DevelopmentFrontendReact.jsJavaScriptTypeScriptReduxHTML5CSS3Material UIBackendNode.jsExpress.jsDatabaseMongoDBNoSQL DatabasesArchitectureREST APIsGraphQLMicroservicesEvent-Driven SystemsAWS Cloud TechnologiesAmazon BedrockAWS SageMakerAWS LambdaECS / EKSAPI GatewayDynamoDBOpenSearchRDS / AuroraS3CloudWatchEventBridgeIAMVPCAI & Data EngineeringRetrieval-Augmented Generation (RAG)Hybrid SearchVector Databases:PineconeChromaDBFAISSWeaviateData Ingestion PipelinesDocument ProcessingOCR SolutionsLarge Language Models (LLMs)Fine-Tuning TechniquesData ModernizationDevOps / MLOps / LLMOpsDockerKubernetesJenkinsGitHub ActionsCI/CD PipelinesMLflowMonitoring & ObservabilityModel Evaluation FrameworksPreferred SkillsPreferred QualificationsExperience with Amazon Bedrock Agent Framework.AWS Solution Architect Certification.Exposure to Responsible AI and AI Governance.Experience in BFSI, Healthcare, Retail, Manufacturing, Telecom, or Hi-Tech domains.Strong consulting and