Cloud Solutions Architect - GenAI

Cloud Solutions Architect – GenAISeeking a highly skilled Senior Cloud Consultant specializing in Artificial Intelligence and Cloud-Native Solutions. Lead the design, implementation, and optimization of modern cloud-based and AI-driven applications. Serve as the AI and Cloud champion within the consulting team, driving strategy, architecture, governance, and delivery. Leverage Generative AI, Machine Learning, LLMs, and cloud-native services to deliver scalable and innovative solutions. Partner with business stakeholders, product teams, architects, and engineering teams to translate business requirements into secure, scalable, and cost-effective technical solutions.Cloud Architecture & Solution DesignLead the design and implementation of cloud-native applications and enterprise solutions across AWS, Azure, and other cloud platforms.Design scalable, secure, resilient, highly available, and cost-optimized cloud architectures.Establish cloud architecture patterns, standards, best practices, and governance frameworks.Evaluate and recommend cloud services, frameworks, and technologies based on business and technical requirements.Collaborate with development and engineering teams to ensure successful solution delivery and operational excellence.Conduct architecture reviews and provide technical leadership across multiple projects.Develop cloud modernization, migration, and transformation strategies.AI, Machine Learning & Generative AIIdentify and evaluate opportunities to apply AI, Machine Learning, Generative AI, and intelligent automation to business processes and products.Design and implement enterprise AI solutions using: Amazon Bedrock, Amazon SageMaker, AWS AI Services, Azure OpenAI, OpenAI APIs, Open-source LLM frameworks.Develop AI proof-of-concepts (POCs) and production-ready enterprise solutions.Design and implement RAG (Retrieval-Augmented Generation) architectures.Develop solutions involving AI agents, model orchestration, semantic search, and enterprise search.Apply prompt engineering, model evaluation, and LLM lifecycle management practices.Work with foundation models such as GPT, Claude, Gemini, Llama, and similar models.Define and promote responsible AI, security, governance, compliance, and ethical AI practices.Cloud Consulting & Stakeholder EngagementEngage with business and technical stakeholders to understand strategic objectives and translate them into cloud and AI roadmaps.Lead technical discovery sessions, architecture workshops, and solution-design discussions.Serve as a trusted technical advisor for cloud modernization and AI transformation initiatives.Develop business cases and value-realization strategies for AI and cloud investments.Provide recommendations for cloud migration, modernization, optimization, and transformation.Communicate complex technical concepts effectively to both technical and non-technical stakeholders.Platform Engineering & AutomationDesign and implement Infrastructure as Code (IaC) solutions using Terraform, AWS CDK, CloudFormation, and similar IaC technologies.Design and implement automated CI/CD and DevOps pipelines.Automate infrastructure provisioning, monitoring, security, and compliance controls.Support containerized and serverless workloads using Kubernetes, Amazon EKS, Amazon ECS, AWS Lambda, Azure Container Apps.Drive automation and standardization across cloud environments.Security, Governance & ComplianceEnsure cloud and AI solutions comply with organizational security policies and regulatory requirements.Implement IAM, identity management, encryption, security monitoring, and access controls.Establish AI governance frameworks and model lifecycle management processes.Define AI risk management and responsible AI practices.Conduct architecture risk assessments and develop remediation strategies.Ensure security and compliance are embedded throughout the solution lifecycle.Operational ExcellenceMonitor cloud applications and infrastructure for performance, reliability, scalability, and cost efficiency.Establish cloud-native observability, monitoring, and logging standards.Support production environments and participate in incident management.Lead Root Cause Analysis (RCA) and remediation activities.Drive continuous improvement across cloud infrastructure, applications, and AI platforms.Required Technical SkillsCloud PlatformsStrong hands-on expertise in AWS.Experience with EC2, S3, EKS, ECS, Lambda, RDS, DynamoDB, API Gateway, VPC, IAM, CloudWatch.Experience with Microsoft Azure cloud services.Strong knowledge of cloud architecture, migration, modernization, and enterprise-scale workloads.AI & Machine LearningProven experience implementing AI, Machine Learning, and Generative AI solutions in enterprise environments.Strong knowledge of Amazon Bedrock, Amazon SageMaker, Azure OpenAI, OpenAI APIs, LangChain, LlamaIndex, Vector Databases, Semantic Search, RAG Architectures, AI Agents.Understanding of prompt engineering, model evaluation, LLM orchestration, and AI lifecycle management.Experience working with foundation models such as GPT, Claude, Gemini, and Llama.Application DevelopmentExperience supporting and designing cloud-based applications and APIs.Proficiency in Python and/or Node.js.Experience developing and integrating REST APIs and microservices.Understanding of event-driven and serverless architectures.DevOps & AutomationHands-on experience with Terraform, AWS CDK, CloudFormation, Docker, Kubernetes.Experience with CI/CD platforms such as GitHub Actions, Jenkins, Azure DevOps, equivalent CI/CD tools.Experience with monitoring and observability platforms such as Grafana, Datadog, OpenTelemetry, CloudWatch.Qualifications & ExperienceBachelor's degree in Computer Science, Engineering, Information Technology, or a related field.8+ years of experience in cloud consulting, cloud architecture, or cloud engineering.3+ years of hands-on experience delivering AI, Machine Learning, or Generative AI solutions.Proven experience designing and implementing enterprise-scale cloud and AI solutions.Strong experience in cloud architecture, solution design, and technical consulting.Excellent stakeholder management and consulting skills.Strong communication, presentation, analytical, and problem-solving abilities.Experience leading cross-functional technical initiatives.Demonstrated ability to mentor and provide technical guidance to engineering teams. 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