Amazon Bedrock Architect / GenAI Solutions Architect

Job DescriptionJob Description Amazon Bedrock Architect / GenAI Solutions Architect Location -Remote / Hybrid Experience 12 years in IT, with 3 years in Generative AI, Machine Learning, or AI Platform Architecture Key Responsibilities Solution Architecture & DesignDesign and implement enterprise Generative AI platforms using Amazon Bedrock.Architect scalable, secure, and highly available AI solutions aligned with AWS Well-Architected principles.Define reference architectures for Agentic AI, RAG, AI Assistants, Intelligent Search, and Enterprise Knowledge Platforms.Evaluate and recommend appropriate Foundation Models based on use case, cost, latency, and performance requirements.Generative AI EngineeringDesign and deploy solutions using: Amazon BedrockBedrock AgentsBedrock Knowledge BasesBedrock GuardrailsAmazon OpenSearchAWS LambdaAPI GatewayAmazon S3Step FunctionsImplement advanced prompting strategies, AI orchestration, and multi-agent workflows.Build Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge repositories.Security, Governance & ComplianceEstablish AI governance frameworks, security controls, and Responsible AI practices.Implement Bedrock Guardrails to protect against prompt injection, harmful content, and sensitive data exposure.Design AI solutions compliant with enterprise security standards, regulatory requirements, and data privacy controls.Integration & AutomationIntegrate AI solutions with enterprise applications, APIs, ServiceNow, Jira, ITSM platforms, and business workflows.Design automated decision-making and action-execution frameworks using Bedrock Agents and AWS services.Enable conversational AI capabilities across operations, support, and business functions.AI Operations & OptimizationDefine AI observability and monitoring frameworks.Track model performance, latency, token utilization, hallucination rates, and operational metrics.Optimize AI workloads for cost, scalability, and reliability.Collaborate with FinOps teams to manage AI consumption and governance.Leadership & ConsultingPartner with business stakeholders to identify high-value AI use cases.Lead architecture reviews, technical workshops, and AI strategy sessions.Mentor architects, engineers, and data scientists on AWS Generative AI best practices.Provide executive-level recommendations on AI adoption and roadmap planning.Experience12 years of experience in Cloud Architecture, Solution Architecture, or Enterprise Architecture.Hands-on experience delivering enterprise AWS cloud solutions.Proven experience designing Generative AI applications in production environments.Experience with AI/ML, NLP, and Large Language Models (LLMs).Technical SkillsAmazon BedrockBedrock AgentsBedrock Knowledge BasesBedrock GuardrailsAWS LambdaAPI GatewayStep FunctionsAmazon OpenSearchAmazon S3Amazon EKS / ECSPythonLangChain / LangGraphVector DatabasesRAG ArchitecturePrompt EngineeringFoundation Models (Claude, Titan, Nova, Llama, Mistral)CI/CD and Infrastructure as Code (Terraform, CloudFormation)Preferred QualificationsAWS Certified Solutions Architect – ProfessionalAWS Certified Machine Learning Engineer or SpecialtyTOGAF CertificationExperience with MLOps / LLMOps platformsExperience implementing Agentic AI architecturesKnowledge of FinOps and AI cost optimizationPublic sector, healthcare, financial services, or regulated industry experience